Critical Manufacturing

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        "bodyText": "Home » Making Industry 4.0 a Reality MES for Industry 4.0 Industries Resources News Company Careers en English Deutsch 简体中文 繁體中文 Schedule a demo Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Semiconductor Manage advanced scenarios with the edge capabilities for innovation and efficiency Electronics Upgrade process capability and manage capacity and quality, while driving down the cost Medical Devices Shift focus from managing compliance and risk to agility and product quality Industrial Equipment Accelerate digital transformation across complex discrete industries Analyst reports Gartner Market Guide for MES 2026 Tech-Clarity Manufacturing Operations Digital Assessment IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions Highlight Analyst Report Tech-Clarity Assessment Tool Get the report View all insights What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Recent News Step Into the Factory of the Future at Hannover Messe 2026 Book a meeting About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal MES for Industry 4.0 Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Industries Semiconductor Electronics Medical Devices Industrial Equipment Resources Analyst reports Gartner Market Guide for MES 2026 Tech-Clarity Manufacturing Operations Digital Assessment IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions News What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Company About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal Making Industry 4.0 a Reality Critical Manufacturing Blog: Insights into a successful digital transformation across your operations. Filter by Filter by Industries AI Automotive manufacturing Discrete manufacturing Electronics manufacturing Industrial Equipment Medical device manufacturing Partners Semiconductor manufacturing SMT Uncategorized Clear filters Tags Additive manufacturing / advanced analytics / AI / artificial intelligence / Augmented Reality / automation / big data / CAPA / change management / chip shortage / Cloud / Consulting / containers / Covid-19 / Critical Manufacturing V10 / Data platform / Digital Transformation / Digital twin / eDHR / EMS / Experiments Management / FDA / Gartner / Genealogy / IIoT / iiot data platform / Industry 4.0 / Integration / intelligence / IoT / iot data platform / IT applications / Leader / legacy MES / Low code / machine learning / Magic Quadrant / Manufacturing Data Analytics / materials management / Medical / medical device manufacturing / Medical Devices / MES / MES implementation / MES migration / Modern MES / multi site deployments / multisite deployments / NPI / OEE / OEM / open source / paperless manufacturing / partners / Partnership / predictive maintenance / predictive quality / productivity / Quality / quality management / Recipe Management / Red Hat / regulatory compliance / ROI / SaaS / Scheduling / Smart Factory / smart manufacturing / Software validation / Strategy / Supply Chain / Traceability / Virtual Reality / Weigh & dispense View all View less Most Popular February 15, 2021 Manufacturing Data: Can it Finally Flow? May 8, 2024 Breaking Silos, Boosting Efficiency: The Transformative Power of MES Centers of Excellence February 8, 2021 CSA vs CSV: FDA’s New Guidance for Software Assurance July 31, 2020 10 Reasons why a MES is Crucial for Quality Management June 23, 2022 AQL in Medical Device Manufacturing and the role of MES in its implementation September 9, 2021 What does full automation mean for Semiconductor Manufacturing? Subscribe Enter your email address to subscribe to this blog and receive notifications of new posts by email Subscribe Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy ×",
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With almost 20 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room. Jeff is also highly active in the Industry 4.0 community. He serves on the Executive board for International Society of Automation (ISA), the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), a U.S. registered expert for the IEC (International Electrotechnical Commission) as a member of TC 65, and as a Smart Manufacturing Advisor to CESMII. Articles written by this author Discrete manufacturing October 23, 2025 Be the Leader When Choosing an MES: 10 Questions to Find the Right Partner At the center of every successful smart factory sits one key enabler: the Manufacturing Execution System (MES). It is the operational backbone that connects strategy with execution, guiding people, machines, and processes to work together in real time. Choosing an MES, however, is not just a technology decision. It is a business-defining one. The right system can help a company adapt, scale, and lead for years. The wrong one can slow progress, limit flexibility, and block innovation. Read more Discrete manufacturing January 8, 2025 Potential Impact of Gartner’s Tech Trends on Manufacturing Gartner’s strategic technology trends for 2025 showcase the tools shaping the near future, from AI-driven autonomy to sustainable computing paradigms. For manufacturers, these trends represent more than just possibilities—they are an urgent call to action to drive efficiency, resilience, and innovation. Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. 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With an extensive background in international business development, she’s the go-to-person for the Electronics & SMT industries. When she's not busy learning, researching and identifying new business opportunities, you most probably will find her in an airplane on her way to unknown and remote destinations. Articles written by this author Discrete manufacturing October 2, 2025 Rethinking MES: The Strategic Core of Digital Manufacturing Isabel Lopes, Business Developer Manager at Critical Manufacturing, cuts through the AI hype with a powerful reminder: Digital transformation doesn’t start with algorithms— it starts with architecture. For manufacturers looking to stay resilient, traceable, and competitive in volatile global markets, the Manufacturing Execution System (MES) must evolve from back-office software to strategic infrastructure. Read more Electronics manufacturing July 18, 2024 Build vs Buy Software Series #3: Three Critical Cost Categories This is the third article of a series on how to decide whether to build or buy software. Following are three suggestions for the cost categories you should consider, beginning with near-term expenses and the associated need for cash. Read more Electronics manufacturing June 20, 2024 Build vs Buy Software Series #2: Seven Critical Questions – What Should We Build? This is the second article of a series on how to decide whether to build or buy software. A framework that can guide you in making that decision. Read more Electronics manufacturing March 28, 2024 Build vs Buy Software Series #1: Three Critical Strategy Questions This is the first article of a series on how to decide whether to build or buy software. To start, we explain the three critical strategy questions important to answer up front. Read more Electronics manufacturing June 29, 2023 SMT and Beyond: Manufacturing Data Continuity for Electronics The entire plant must have access to the data it needs at all times, from any area of the facility and beyond. Plus, anywhere in the enterprise might need access to accurate, timely, and in-context data from production. Read more Electronics manufacturing March 17, 2023 Automation, Intelligence and Agility – the Future of Electronics Manufacturing explained Electronic Manufacturing value chains are reeling under uncertain market conditions that punctuate the market today and are seeking solutions to make their operations more resilient and insulated from ever emerging risks. Read more Electronics manufacturing August 4, 2022 The Role of Advanced Analytics & MES in Boosting Productivity and Profitability in Electronics Manufacturing How MES helps overcoming the major challenges faced by the electronics manufacturing, making the most of advanced analytics. Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy",
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It all comes down to being reliable on many fronts. Read more Medical device manufacturing October 7, 2022 Predictive Quality Saves Lives Predictive quality can prevent possible defects and can help predict recalls by combining AI, advanced analytics, design, production, supply-chain, and field data. Read more Medical device manufacturing October 20, 2021 Electronic Device History Records – Significance and Role of MES Today, we will examine the role a modern MES with e-DHR functionality can play in not only meeting the record keeping needs placed by regulatory authorities or other bodies, but also in helping reducing cost and effort related to the whole quality assurance and compliance activity. Benefits include the containment and correction of detected errors, reduction of ‘just in case’ inventory and overall product cycle time, and faster response to changing market needs and trends. Read more Medical device manufacturing February 8, 2021 CSA vs CSV: FDA’s New Guidance for Software Assurance The CSA ‘represents a step-change in computer system validation, placing critical thinking at the center of the CSV process, as opposed to a traditional ‘one size fits all’ approach.’ CSA helps manufacturers achieve CSV. Read more Medical device manufacturing January 25, 2021 MES in Vertically Integrated and Complex Value Chains – Ultradent Case Let’s examine a use case of MES implementation where there is a high level of vertical integration, multiple product variants, and production lines executing a mix of process and discrete manufacturing modes. There are also strict compliance requirements with paper-based capture of process data. Essentially, the MES is crucial to the manufacturing process and the value chain. Read more Discrete manufacturing October 8, 2020 Fine Tuning the Pharma Supply Chain To meet the strenuous requirements of Current Good Manufacturing Practice, if there were ever an industry segment which needs Industry 4.0 implementation, it would be the pharma industry. Let’s examine how a modern MES is able to help manufacturers in the pharma segment better manage their production and their supply chain to unleash Industry 4.0 benefits. Read more Medical device manufacturing May 5, 2020 MES Enables MedTech to fight Pandemic Demands The urgency of response to Covid-19 and the market whiplash are causing MedTech companies to rethink their product mixes to either innovate or partner with other technology companies to answer the pandemic needs. MES has reinforced its place as a critical component in GMP for these companies. 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Going paperless is the way forward and the MES you choose may prove to be a game-changer. Read more Medical device manufacturing April 6, 2022 MedTech M&A: The importance of effective data management MedTech’s that are using M&A as a strategic initiative need to consider data management integration to achieve Industry 4.0 transformation. Read more Medical device manufacturing November 30, 2021 How MES helps Medtech’s to overcome fluctuating demand and supply chain disruptions How Medtech companies can achieve agility through supply chain management and risk mitigation is what we will examine today. Read more Electronics manufacturing August 19, 2021 Big Data Analytics in Electronics Manufacturing: is MES the key to unlocking its true potential? There is no shortage of data in SMT and electronics plants and their supply chains. The issue which plagues most fabs is the way in which a myriad of point solutions exist on the shop floor, existing in the process either due to due to legacy or custom solutions, or simply because there is not solution which overarches the entire process. Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy",
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        "bodyText": "Home » Discrete manufacturing » A Guide to Data Analytics For Manufacturing – Dark Data MES for Industry 4.0 Industries Resources News Company Careers en English Schedule a demo Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Semiconductor Manage advanced scenarios with the edge capabilities for innovation and efficiency Electronics Upgrade process capability and manage capacity and quality, while driving down the cost Medical Devices Shift focus from managing compliance and risk to agility and product quality Industrial Equipment Accelerate digital transformation across complex discrete industries Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions Highlight Analyst Report Tech-Clarity Assessment Tool Get the report View all insights What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Recent News Step Into the Factory of the Future at Hannover Messe 2026 Book a meeting About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal MES for Industry 4.0 Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Industries Semiconductor Electronics Medical Devices Industrial Equipment Resources Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions News What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Company About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal A Guide to Data Analytics For Manufacturing – Dark Data April 20, 2020 Posted by: Francisco Almada Lobo This is the second in a series of blog posts on Data Platforms for Manufacturing. Throughout this series, I will try to explain my own learning process and how we are applying these technologies in an integrated offering at Critical Manufacturing . For reasons that I started exploring in the first post of this series , many companies seem to be strategically lost among the various digitization initiatives and with severe difficulties in achieving results from the investments made, particularly in the topic of Data Analytics and IoT. Contrary to what happened in the previous industrial revolutions, manufacturing has lagged in implementing the base technologies underlying this data transformation. Before getting into the data platform topic, there’s one related aspect worth exploring: Dark Data. Shedding Some Light on Dark Data IoT (broadly speaking) generates tremendous amounts of data and will grow at an extremely high pace. Forecasts abound and numbers are stratospheric. As an example, Statista estimates that the amount of data generated by connected IoT devices will amount to 79.4 zettabytes in 2025. Moreover, the two categories that will see the fastest data growth are industry and automotive. Any beneficial technological revolution or trend unfortunately also has its negative side effects. Over the past few years, a significant number of solutions, tools and platforms have been created that allowed companies to store and process an explosion of generated data with the intent to extract an increasing amount of information that could be used for analysis, predictions and other useful insights. But the problem is that most of the data that companies produce (and manufacturers are no exception) isn’t really useful. In fact, most of the data generated in a manufacturing environment by machines, materials, transportation systems, warehouses and employees in the form of logs or database records may never be used or seen again after being stored! This data, which has no immediate value and does not translate into useful information, even when orchestrated and organized, is called dark data. Gartner defines it as “the information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing). Similar to dark matter in physics, dark data often comprises most organizations’ universe of information assets.“ Another interesting aspect is that most data becomes irrelevant if not processed fast enough. This is called “perishable insights” and calls for quick action to escape this fate through a technology called streaming analytics – hold this thought for now as we’ll talk about this in greater detail in one of the subsequent posts of this series. For now, just consider that according to IBM, 60% of data loses its true value within milliseconds . A significant portion of this data remains on the dark side during its entire existence. For most companies, there is usually an enormous amount of dark data, which is never stored or analyzed, with up to 65% of dark data being hidden within machines, networks, and people . One of several reasons is that a lot of such data is unstructured – “ content that does not conform to a specific, pre-defined data model. It tends to be the human-generated and people-oriented content that does not fit neatly into database tables. ” Storing Dark Data However, companies still store a significant amount of data, even if they don’t have an immediate use for it. According to Rahul Telang, professor at the Heinz Faculty of Information Systems and Public Policy at Carnegie Mellon University (USA), dark data represents about 90% of the data companies store (not data produced, but really stored). A quantity of data of this magnitude does not go unnoticed. Despite the downward price evolution of hardware and storage systems, saving this data is extremely expensive. The reason? Because in most cases, it is not simply stored in raw format, but it is orchestrated, cleansed, transformed and organized. So, the question is why do companies keep this data? While dark data may never be used or be useful, companies still keep a significant portion of it for two reasons: To minimize risks and liabilities primarily related to regulatory compliance but also to litigation. Especially in industries with strong regulatory requirements (such as food & beverage, healthcare or semiconductor), noncompliance can jeopardize business continuity. Digitizing paper records stored in physical warehouses, even with a high percentage of dark data, is a step towards optimization & efficiency. To safeguard the future possibility of utilizing this asset to generate useful insights, even if today this is not of immediate value. In fact, most manufacturers are increasingly aware that the data they produce is not only valuable today for more or less immediate decisions but will soon be able to feed machine learning algorithms that can result in predictive models for behavior and performance that can bring them additional competitive advantages. While the first reason is essentially pragmatic, the second is very future oriented. However, as the amount of dark data keeps increasing, the costs of storing must be lowered. One of the ways to do this is quite obvious, although frequently ignored: when saving dark data, it is not necessary to carry out any transformation, orchestration or curation of this data. It is data in a “reserve mode” for possible future use.  Not having immediate requirements for storage performance or analysis, it can be saved in less elaborate and less expensive formats, as long as the storage is reliable and can be used when necessary.  This is why solutions that allow storing events in raw format are so appealing. The key aspect is the ability to reliably and inexpensively store data, forever if necessary, and extract it at any time. As we’ll see later, Apache Kafka is one of those solutions. But for now, the central point to realize about dark data is that it does not have to stay dark. At the moment that dark data is used to gain insights, it becomes actionable, and by definition, it is no longer dark. Quite frequently, manufacturers are just not aware of the dark data existence. So, there is a need to raise the awareness of its existence and opportunities that can come from harvesting dark data. Then, the platform that will support dark data analytics should be put in place. As the series progresses, we’ll start exploring the main components of a manufacturing data platform. In the next post of this series, we’ll discuss edge solutions. Should you want to continue reading this and other Industry 4.0 posts, subscribe here and receive notifications of new posts by email. All articles Industries: Discrete manufacturing Tags: Data platform Industry 4.0 MES Article by: Francisco Almada Lobo CEO at Critical Manufacturing, Industry 4.0 Evangelist and Educator More articles from this author November 6, 2025 Manufacturing Has Suddenly Become a Prime Cyber Target August 7, 2025 MCP and AI Agents in Manufacturing: Big Potential, Bigger Responsibility May 24, 2024 Industry Pi.0 – How Mature is your Manufacturing Data Analytics Strategy? May 8, 2024 Breaking Silos, Boosting Efficiency: The Transformative Power of MES Centers of Excellence January 19, 2024 Digital Twin: It’s a concept not an application June 4, 2020 A Guide to Data Analytics For Manufacturing – Stream Processing Industries: Discrete manufacturing Tags: Data platform / Industry 4.0 / MES Francisco Almada Lobo CEO at Critical Manufacturing, Industry 4.0 Evangelist and Educator How manufacturing execution systems can improve process capacity Next Post > Partners For Business Continuity Related articles Discrete manufacturing January 8, 2026 The Role of System Integrators in MES Implementations Manufacturing Execution Systems (MES) are foundational to modern high-tech manufacturing. For manufacturers operating in domains supported by Critical Manufacturing MES, including semiconductors, electronics, medical devices, and industrial equipment, implementation is not simply an IT rollout. Read more AI December 4, 2025 The Rise of Copilots: Transforming the Interaction with Manufacturing Execution Systems (MES) The manufacturing floor is undergoing a digital revolution, and at the forefront of this change is the emergence of AI Copilots. Read more Discrete manufacturing November 27, 2025 Why Generic Data Platforms Fall Short and Purpose-Built Solutions Win When global manufacturers evaluate their enterprise analytics strategy, they face a critical decision: build a custom solution on a generic data platform like Snowflake, Azure Synapse, or Databricks, or invest in a purpose-built manufacturing intelligence platform like Critical Manufacturing’s Enterprise Data Platform (EDP)? Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy   Loading Comments...   Write a Comment... Email (Required) Name (Required) Website",
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His background includes engineering at British American Tobacco (10 years) and senior management/leadership at Hermos Automation (18 years). Articles written by this author Discrete manufacturing September 18, 2019 The Importance of a Connected Plant Perhaps the most important feature of the smart factory, its connected nature, is also one of its most crucial sources of value. Smart factories require the underlying processes and materials to be connected to generate the data necessary to make real-time decisions. In a truly smart factory, assets are fitted with smart sensors so systems can continuously pull data sets from both new and traditional sources. Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. 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        "bodyText": "Home » Archives for Luis Ponte MES for Industry 4.0 Industries Resources News Company Careers en English Schedule a demo Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Semiconductor Manage advanced scenarios with the edge capabilities for innovation and efficiency Electronics Upgrade process capability and manage capacity and quality, while driving down the cost Medical Devices Shift focus from managing compliance and risk to agility and product quality Industrial Equipment Accelerate digital transformation across complex discrete industries Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions Highlight Analyst Report Tech-Clarity Assessment Tool Get the report View all insights What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Recent News Step Into the Factory of the Future at Hannover Messe 2026 Book a meeting About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal MES for Industry 4.0 Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Industries Semiconductor Electronics Medical Devices Industrial Equipment Resources Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions News What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Company About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal Articles by this author: Luis Ponte Luis Ponte is Product Engineering Director at Critical Manufacturing Articles written by this author Discrete manufacturing December 29, 2020 Guide to Successful MES Replacement Why replace a working MES with a new MES? There are many reasons, and they must be sound and significant for most companies to take on such a major endeavor. Industry 4.0 and an array of emerging digital technologies make the prospect of upgrading your MES attractive—taking advantage of new technologies; reducing a ‘hodgepodge’ of applications for a centrally-managed, cohesive application framework; and addressing hardware/software end of life issues with no migration path. Read more Discrete manufacturing September 29, 2020 Extending MES value past a pilot Establishing the need for an MES at the C-suite level is perhaps the first and most significant step in the long but highly rewarding journey of MES implementation. From that moment to the time an MES is deployed across the value chain, there will be a time lapse of at least 2 to 3 years. Read more Discrete manufacturing June 30, 2020 6 Ways to Ensure a Successful MES Project It is only after the top management realizes the need to implement an MES, or to update the existing legacy system, that the MES project starts to take shape. With it comes complexity and fear of failure; so, to alleviate those fears, today we will explore ways in which you can ensure that your MES project is a success. Read more Discrete manufacturing March 30, 2020 A Quick Guide to Remote Implementation: Keep MES Projects Going in the Midst of a Crisis It’s not unusual to have concerns about progress to plan when the majority of resources will be working remotely. That’s why we’ve decided to share our practices and experience in these trying times. Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. 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Critical Manufacturing is the execution-centered system where factories don’t just run, they improve themselves in real-time.​ Learn more Meet us at APEX Expo 2026 to future-proof your factory with AI-ready Critical Manufacturing Industry 4.0 Solutions Book a meeting Meet us at Hannover Messe 2026 to future-proof your factory with AI-ready Critical Manufacturing Industry 4.0 Solutions Free ticket Meet the AI Copilots Redefining What’s Possible in MES Get immediate answers, generate charts and dashboards, and access process knowledge instantly with AI-powered assistance for every MES user. see what's possible The New Standard for Manufacturing Data Starts Here The Enterprise Data Platform unifies MES data across every plant and system with a governed, enterprise-wide architecture designed for visibility, scalability, and AI-ready intelligence. scale with confidence From Hype to Impact - Realizing AI’s potential in semiconductors manufacturing Discover how AI is reshaping the future of Europe’s semiconductor Industry. Download now Hype Cycle™ for Manufacturing Operations Strategy 2025 Critical Manufacturing Recognized as a Sample Vendor in the Gartner® Hype Cycle™ for MOM Applications Suites. Know more NEW White Paper: Welcome to The Thinking Factory How AI is Giving MES a Brain Download Now Critical Manufacturing Recognized in the 2025 Gartner® Market Guide For Manufacturing Execution Systems Download the report Explore modern MES solutions for your industry Critical Manufacturing provides deep domain expertise and industry specific functionality for the most advanced high-tech manufacturing industries. Semiconductor Manufacturing Learn more Electronics Manufacturing Learn more Medical Device Manufacturing Learn more Industrial Equipment Manufacturing Learn more Insights for Industry 4.0 success Learn what is driving innovation and competitive advantage across complex discrete manufacturing operations. Gain powerful knowledge, strategies, and insights to put your digitalization initiatives on the path to success. Press Release Critical Manufacturing Brings the Factory of the Future to Life with AI and Intelligent Operations at SEMICON Europa and productronica 2025 Read more Press Release Critical Manufacturing Appoints Arnaud Portet to Lead Market Expansion Read more Press Release Critical Manufacturing’s MES & Industry 4.0 Summit 2025 Highlights the Power of Collaboration in Digital Transformation Read more Press Release MES & Industry 4.0 Summit Kicks Off in Porto with Global Manufacturing Leaders Read more Press Release Critical Manufacturing Named as a Representative Vendor in 2025 Gartner® Market Guide for MES Read more Press Release Critical Manufacturing and Twinzo Partner to Deliver Real-Time Digital Twin Visualization for Smart Factories Read more Video Critical Manufacturing MES for Industrial Equipment Manufacturing Advanced capabilities for innovation, quality, end-to-end traceability. Watch now Press Release Join the Conversation: MESI 4.0 Summit 2025 Brings Manufacturing Experts to Porto Read more White Paper Enabling Seamless Integration in SMT Use cases and the role of MES Download now White Paper The Importance of Being a Leader When Selecting a Partner Executive Brief by Jeff Winter, VP Business Strategy Download now Press Release Critical Manufacturing to show at APEX 2025 that You Might Need a New MES for Making Industry 4.0 a Reality Read more Analyst Report IDC MarketScape for Worldwide MES 2024-2025 Critical Manufacturing named as a Leader Get the report Press Release Critical Manufacturing and Red Hat Collaborate to Modernize Operational Efficiency on the Factory Floor Read more Press Release MESI 4.0 Summit 2025: Global manufacturers reunite to accelerate digital transformation Read more Press Release Critical Manufacturing welcomes Jeff Winter as VP of Business Strategy Read more White Paper Multisite MES: Essential for Enterprise Digital Transformation Learnings and recommendations from Critical Manufacturing Customers and Partners Download now Press Release Frost & Sullivan Recognizes Critical Manufacturing as a Leading Vendor with the Highest Growth Potential on the Frost Radar™ for MES Read more Press Release Critical Manufacturing and RoviSys Expand Strategic Alliance to Southeast Asia, Japan, and Taiwan Read more Press Release Meta System Selects Critical Manufacturing MES for New SMT Plant Read more eBook MES Buyer’s Guide Learn how to select a system to guide, track, and manage manufacturing Download now Press Release Vishay Extends Critical Manufacturing MES to Semiconductor Business Read more Presentation, Video MES & Industry 4.0 Summit Presentations Presentations and talk sessions from the most recognized manufacturing experts Watch now Video Critical Manufacturing MES for Electronics / SMT Manufacturing Advanced capabilities for end-to-end traceability. Watch now White Paper Center of Excellence in multisite MES implementations Benefits of standardizing and reusing manufacturing processes and operations. Download now White Paper Advanced MES Critical Capabilities for Industrial Equipment How an MES solves 12 different Industrial Equipment industry challenges Download now Connectivity Extract real-time data from IoT-enabled devices, with real-time streaming and analysis for powerful insights, predictive models and decision support. Learn more Mobility Use mobile devices to work from any location and use Augmented Reality to view MES data over a live image of a real product, process, line or facility area. Learn more Agility Leverage hosted infrastructure with easy scaling that lets you focus on strategy, not IT management. Learn more Advanced Analytics See real-time plant performance metrics and prevent problems with predictive and prescriptive analytics. Learn more Decentralization Manage complex distributed plant floor processing with a single, unified system and record events in context for complete, accurate genealogy. Learn more Vertical Integration Use a rule-based dynamic workflow engine to seamlessly integrate with equipment, IoT devices and enterprise systems. Learn more Horizontal Integration Integrate seamlessly between plants, collaborate dynamically with suppliers and share efficiently and securely with customers. Learn More Visibility Drive visibility of status and costs across the entire production realm for improved decision making. Learn more Automation Monitor and respond to factory events automatically with full visibility over IIoT-enabled smart factories. Learn more Getting new products into the system is quite positive. The time it takes was reduced from 20 hours over a few months to five hours within one day. We can now build up the work instructions and flow structure, prepare it completely, and do a dry run to test it. When we’re ready to switch from an old to a new product, everything is ready. We can easily see which steps are in the flow and the work instructions for each step for that item. Richard Eweg Manufacturing Engineer & MES Champion Elekta Limited Before implementing Critical Manufacturing MES, Philips had spent several years trying to standardize operations with a competitive product, without a successful result. It proved to be inflexible for Front End operations and we could not achieve useful reporting. We had to change course and after a mapping exercise with potential MES candidates, Critical Manufacturing ranked highly with advanced capabilities designed specifically for use in Front End and semiconductor operations. Frank van der Sheur Associate Director, Information Technology Accelerate digital transformation MES is even more relevant as new manufacturing technologies emerge. Find out what it can do for your business in order to achieve and maintain high performance in a very competitive and rapidly changing environment. Learn more Subscribe to receive Industry 4.0 news Stay up-to-date with the latest news about our modern MES for Industry 4.0 Subscribe now Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. 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        "bodyText": "Home » Discrete manufacturing » 6 Ways to Ensure a Successful MES Project MES for Industry 4.0 Industries Resources News Company Careers en English Schedule a demo Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Semiconductor Manage advanced scenarios with the edge capabilities for innovation and efficiency Electronics Upgrade process capability and manage capacity and quality, while driving down the cost Medical Devices Shift focus from managing compliance and risk to agility and product quality Industrial Equipment Accelerate digital transformation across complex discrete industries Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions Highlight Analyst Report Tech-Clarity Assessment Tool Get the report View all insights What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Recent News Step Into the Factory of the Future at Hannover Messe 2026 Book a meeting About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal MES for Industry 4.0 Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Industries Semiconductor Electronics Medical Devices Industrial Equipment Resources Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions News What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Company About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal 6 Ways to Ensure a Successful MES Project June 30, 2020 Posted by: Luis Ponte “Project management can be defined as a way of developing structure in a complex project, where the independent variables of time, cost, resources and human behavior come together.”  — Rory Burke MES (Manufacturing Execution Systems) applications have become highly sought-after solutions in the modern manufacturing landscape, which is being driven by the availability and successful harnessing of information at the core of the current industrial revolution, Industry 4.0 . A Manufacturing Operations Platform, which focuses on building a robust and yet flexible supply chain, geared to preserve profitability and provide strategic agility,  mandates the need to have manufacturing at the epicenter, with an MES that is perfectly suited for your particular industry segment, driving the whole endeavor.  Establishing the need for an MES application for your global manufacturing infrastructure to connect the value chain, orchestrate manufacturing operations, create compliant and efficient processes and deliver actionable, real-time information which is tailored for the hierarchical level it is delivered to, is only the tip of the MES iceberg. It is only after the top management realizes the need to implement an MES, or to update the existing legacy system, that the MES project starts to take shape. With it comes complexity and fear of failure; so, to alleviate those fears, today we will explore ways in which you can ensure that your MES project is a success. Dealing with Complexity IT projects, especially MES implementation projects have a high level of inherent complexity, simply because of the large number of variables and deliverables, millions of transactions happening simultaneously and a diverse group of stakeholders having different priorities; yet there’s the pressing need to create a harmonious baseline in and across manufacturing plants, which are not only sometimes separated by geographic locations, but may have other complexities such as varying manufacturing styles . It is vital when you are starting an MES project to have a clear vision of what is needed, how it will be pursued (do you use partners or an in-house team, for example) and what should the end result look like. Achieving this without guidance is challenging. To ensure that your MES implementation succeeds, it is vital to get certain foundational things right; this will lead to a successful implementation. So, without further ado, let’s get into the requisites of making your MES project an absolute success. The Six Ways of Ensuring MES Project Success 1. The Right Team As is the case in any successful business pursuit, the right set of people on the project can make all the difference. In an MES project, it is absolutely critical to have the right mix of personnel in the selection through implementation team; representations from plant and shop-floor levels are a must. The winning formula is to have a capable and neutral leader from senior management lead, with a cross-functional team assembled, consisting of personnel from IT, Manufacturing, R&D, Compliance/Quality, Sales, Supply Chain and other important functional areas. Personnel from other plants of the group must also be included if your company has operations across the world that will be included in the rollout. The right mix of people will also be influenced by your industry segment, core activity, operational maturity and availability of functional experts. What is important is to have personnel with deep functional insights and the ability to see beyond their own priorities and look at the ‘big picture.’ They should also be willing to see the entire project through as active participants. They understand what an MES project entails and how it benefits both the organization and their own functional area. The Leader’s role in steering the project and keeping it on track can’t be emphasized enough; the person chosen should be a person who values reason and leads through logic, but at the same time knows how to rally both internal and external parties to deliver what must be achieved from a project perspective. A leader equipped with in-depth knowledge of operations and IT projects, who knows the drivers behind the MES project, and a team that has the singular goal to have the MES project succeed (realizing how it will help improve their daily work-life) is the right team for you. In the case of any MES project, the participation of process owners, who will be the primary users is essential and will determine the success or failure (complete or partial) of your MES project; this must be taken into account when assembling your MES ‘dream team.’ 2. The Right Guidance Before looking outward for third party or external consultants, it is advisable to seek internal guidance to identify the areas which are in need of most improvement from a value chain perspective. Knowledge of your own operation is key to a successful MES implementation, so internal guidance must be sought from process owners, IT leaders and supply chain partners to clearly understand the status quo. The leadership of the organization using this internal guidance can then map what a future operation orchestrated by an MES application would look like. This activity of seeking guidance and understanding, then subsequently categorizing areas of improvement or areas in need of technological reconfiguring, will be a vital contributor in determining how the project will perform. Other resources at this stage may be industry peers, industry analysts or third party white papers. The goal is to create a broad set of project deliverables, while identifying areas in direct need of improvements, re-engineering or upgrades. Once determined, the base document that is created can be used for discussions with both potential implementation/services partners and MES vendors. 3. The Right Goals Once a base understanding of why the MES is needed and which areas is it most needed in are determined, the next (and probably the most defining step) is to establish clear goals and deliverables. For a project as large and complex as an MES deployment, it is easier said than done! The approach to determining what an MES needs to deliver should result from the self-analysis and base document prepared in guidance of the internal stakeholders. Strategic goals should be considered and the goals of the MES project must be aligned with those strategic goals. MES vendors and their product offerings traditionally have a diverse set of functionalities; each vendor and their application will have different market focus and strengths. Unless it is absolutely clear what your organization needs from the MES, choosing and subsequently deploying an MES application is challenging. So, refer to your basic needs document and then outline a set of must-haves which are absolutely needed from the MES. For example, depending on your industry segment, your need may be to have process execution and scheduling capabilities. Similarly, in industries which are highly regulated, quality and compliance might have priority over the ability to upgrade system functionality regularly; understanding this internal set of requirements and trade-offs will help you forge the goals of your MES deployment. Once you have determined the goals, you can move onto the next steps with a degree of certainty. 4. The Right Implementation/Consulting Partner The choice of the right MES implementation or consulting partner is absolutely critical in the success of the impending MES project. In order to make the right choice, asking the right questions is key: whether the partner has relevant industry experience; whether they have been a part of (or lead) successful MES implementations with the same or similar manufacturing operations; whether they have the right MES vendors aligned with them; and whether they are located in key geographies which map to your plant locations; generally, any of the questions which are associated with your needs and goals need to be determined.  In meeting with potential partners it should be ensured that they are given a very clear picture of what the core team believes is to be achieved through the MES deployment; seek their views on establishing timelines, exploring potential vendors and affirming goals which have been set internally are reasonable and achievable. If and only if the potential partner or consultant meets the above criteria (along with any other qualities you feel important) should you proceed with them, again reemphasizing the importance of in-depth industry knowledge and collaborating with the right application vendors. 5. The Right Timeline The right timeline is everything when it comes to a project. There is no point implementing an MES project which theoretically will last for years and find upon completion that new industry dynamics, technologies and offerings have made your solution obsolete because it took too long to finish. Establishing the correct timelines can be done through clear engagement of internal core team with the selected implementation consultant and MES vendor. As is the case in any multi-dimensional project, trade-offs may be needed at this stage to set a clear and agreed-upon deployment timeline. While setting the timeline, the most important thing to remember is that project should be divided into critical milestones, but should not end at the rollout, but rather should continue until the MES is delivering the very goals which it was supposed to in the plan. So, setting up deliverables, deploying an application pilot, re-iterate and follow with the larger deployment, while stabilizing and monitoring the process/processes, should all be considered while setting initial timelines, keeping a well-defined margin for contingencies. Once the timeline is set, regular milestone reviews which involve all relevant parties, including the consultants, vendor and the MES project team, should occur to an established schedule, with updates should be provided to top management accordingly, to ensure that the implementation remains on track. 6. The Right MES We have saved the best for the last! Selecting the right MES is probably the most important aspect of getting the implementation right. In order to determine whether a specific MES is suitable for your operation/s, the MES application itself needs to be thoroughly analyzed and compared against goals set. There are important check marks to consider: Its focus on your industry (product set, customer references and industry use cases) experience The alignment with your specific functional deliverables  Its ability to adapt to change The ‘openness’ of its architecture to incorporate modern technologies The application’s inherent maturity Its ability to deploy a modular feature set, allowing for customization while maintaining the integrity of the application and other features which may be important to you (cloud hosted, best in class references, etc.). The MES vendor should be prepared to present the ability of their MES application to meet your key deliverables once they’ve passed your initial screening. If you go to step two with them, testing the application by deploying a pilot is strongly recommended. Once a vendor (or vendors) is/are shortlisted, seeing the software’s performance in your simulated environment helps you to determine its applicability to your industry and needs. Making the Selection Process a Success: Final Considerations There is no point having a great MES application deployed if the MES vendor, the consultant and core team can’t get the process owners on board. The approach the vendor takes towards deployment and subsequent stages of the project should be considered. The vendor team handling the project, their interactions with your stakeholders and their ability to be a catalyst in making the process owners ‘own’ the project are all soft aspects of the selection process. So, choose the right MES Vendor and application, and you have a winning strategy, fully in place to deliver the best possible MES for your value chain. If all Six Steps for Success are followed, your MES project has a great chance of succeeding. Your considerations of the right reasons, the right partners and the right team (and buy-in of senior leadership) are the foundations for a MES project that will meet your current and future needs, and deliver on your project goals. All articles Industries: Discrete manufacturing Tags: Industry 4.0 MES MES implementation Strategy Article by: Luis Ponte Luis Ponte is Product Engineering Director at Critical Manufacturing More articles from this author December 29, 2020 Guide to Successful MES Replacement September 29, 2020 Extending MES value past a pilot March 30, 2020 A Quick Guide to Remote Implementation: Keep MES Projects Going in the Midst of a Crisis Industries: Discrete manufacturing Tags: Industry 4.0 / MES / MES implementation / Strategy Luis Ponte Luis Ponte is Product Engineering Director at Critical Manufacturing Successfully using Sales Reps for Enhanced Customer Engagement in North America Next Post > How to Prepare Your Path to the Autonomous Factory Related articles Discrete manufacturing January 8, 2026 The Role of System Integrators in MES Implementations Manufacturing Execution Systems (MES) are foundational to modern high-tech manufacturing. For manufacturers operating in domains supported by Critical Manufacturing MES, including semiconductors, electronics, medical devices, and industrial equipment, implementation is not simply an IT rollout. Read more AI December 4, 2025 The Rise of Copilots: Transforming the Interaction with Manufacturing Execution Systems (MES) The manufacturing floor is undergoing a digital revolution, and at the forefront of this change is the emergence of AI Copilots. Read more Discrete manufacturing November 27, 2025 Why Generic Data Platforms Fall Short and Purpose-Built Solutions Win When global manufacturers evaluate their enterprise analytics strategy, they face a critical decision: build a custom solution on a generic data platform like Snowflake, Azure Synapse, or Databricks, or invest in a purpose-built manufacturing intelligence platform like Critical Manufacturing’s Enterprise Data Platform (EDP)? Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy   Loading Comments...   Write a Comment... Email (Required) Name (Required) Website",
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She enjoys long walks with her family and the connection with nature. Carla holds an Electric and Electronics Engineering Degree and her major Industry 4.0 interests are Quality Management, Automation and IoT connectivity. Articles written by this author Medical device manufacturing December 7, 2022 Cost of quality in MedTech This article addresses the cost of quality in the industry and the role played by the MES platform in helping reduce these costs. Read more Medical device manufacturing June 23, 2022 AQL in Medical Device Manufacturing and the role of MES in its implementation The constant need to deliver a near zero-defect production for every single lot produced is a challenge and requires the most modern tools possible to make quality management both precise and cost-effective. Read more Medical device manufacturing March 4, 2022 MES and Integrated CAPA In a digitized CAPA management system, actions and alarms are triggered automatically, and containment action may begin almost immediately once an event is detected. Read more Medical device manufacturing November 10, 2021 DataOps and Automated Validation – Building Quality into Validation Practices It is due to the self-actuating nature of DataOps in capturing, streamlining and enriching data that it is gaining popularity in the Regulated industry segments. Read more Medical device manufacturing May 6, 2021 Automated Validation: Accelerating MES Implementations in Regulated Environments The Automated Validation approach is crucial in helping companies to reduce the time and cost of their validation efforts by at least 60-70%. 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Read more Electronics manufacturing April 14, 2022 Integration through MES for a successful Automation and Process Orchestration How the MES alleviates electronics manufacturers challenges through better integration and connected orchestration. Read more Discrete manufacturing April 29, 2021 Augmented & Virtual Reality: Use-cases already implemented in Manufacturing Industry 4.0 leverages both the Internet of Things-based devices and cloud-based computing, using AR and/or VR for an enriched and immersive experience, enabling enterprises to react faster. Armed with high quality information, the resulting actions help to achieve Industry 4.0 benefits associated with speed, accuracy, clarity and in some cases, innovation. Read more Discrete manufacturing December 18, 2020 Guide for Successful Transition to Paperless Manufacturing If you are running a paperless program in manufacturing or thinking about starting it, this article is a must read. And I have chosen to start it by giving you already the three main takeaways: Prone to human error, inefficient and inflexible, predisposed to decision lag are hidden costs of paper-based systems; The choice of the right tool to go paperless shall consider its Integration Capabilities and Configurability, Usability, and Mobility; This is a journey. Start to process your data quickly with an easy-to-use interface and soon you will get deeper insights to rethink your manufacturing processes. Read more Discrete manufacturing September 7, 2020 Getting the most out of manufacturing data to raise Supply Chain profitability Delivering perfect orders isn´t easy, but having the right technological tools will help your company to get the most value of manufacturing data and make you outperform, shaping the difference between failing and succeeding in Order Management, especially in highly vertically integrated industries. Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy",
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        "bodyText": "Home » Discrete manufacturing » Advantages of an MES Template MES for Industry 4.0 Industries Resources News Company Careers en English 简体中文 Schedule a demo Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Semiconductor Manage advanced scenarios with the edge capabilities for innovation and efficiency Electronics Upgrade process capability and manage capacity and quality, while driving down the cost Medical Devices Shift focus from managing compliance and risk to agility and product quality Industrial Equipment Accelerate digital transformation across complex discrete industries Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions Highlight Analyst Report Tech-Clarity Assessment Tool Get the report View all insights What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Recent News Step Into the Factory of the Future at Hannover Messe 2026 Book a meeting About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal MES for Industry 4.0 Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Industries Semiconductor Electronics Medical Devices Industrial Equipment Resources Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions News What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Company About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal Advantages of an MES Template January 12, 2023 Posted by: Pedro Rodrigues In the third of our BLOG series on global Manufacturing Execution Systems (MES), my colleague Diogo looked at the importance of an MES template for multisite deployment. Here, I am going to explore the advantages in more detail. What is an MES template? Fundamentally, an MES helps you turn raw materials into products by guiding and controlling processing steps. Deploying an MES across multiple sites offers many advantages, including lower investment costs, easier maintenance with a single, standard system across multiple sites, the ability to centrally manage the MES, and the capacity to share data and best practices across the enterprise. For a global, multisite MES to deliver these benefits, however, there is a need to identify and standardize common processes among facilities. This is where the MES template comes in. Its goal is to standardize processes and embrace best practices where applicable, while still accommodating local customization for the unique needs of each factory. It is defined by the MES Center of Excellence team and, depending on project requirements, there may be several templates defined to meet the needs of the enterprise. How to create an MES template Creating an MES template requires an approach where usual procedures and ways of working are, where possible, adapted to conform with the MES template. It requires the identification of synergies and common goals from each production setting. While the aim is to create a single, baseline MES template, there will also be template subsets that group processes and factories that have similar needs. For example, one subset of factories may execute batch processes, while another group uses continuous processing. Different approaches can be selected depending on desired process similarity, standardization and IT landscape. The MES Center of Excellence team needs to map out all requirements and characteristics of individual plants and identify similarities and differences. The success of the template planning stage of a project is heavily reliant on the involvement or representation of all stakeholders. The advantages of MES templates Reduced implementation effort/cost on follow-up sites by sharing a starting baseline By using an MES template across multiple sites, the effort of MES implementation is greatly reduced. This is not to say there will not be differences between sites, as each manufacturing setting is likely to have its own unique needs. However, an MES template, defined by the Center of Excellence team to cover commonalities across sites, provides a strong, shared baseline to build from and avoids unnecessary, repeated engineering as the MES is deployed across the enterprise. Reduced additional sites roll-out timeline by not starting new sites from scratch As well as reducing cost and implementation effort, the use of MES templates means the system can be deployed across new sites much more quickly. The length of time will, of course, depend on the amount of customization required beyond the template, but the overall project time will be much shorter. Consolidated validation While the MES is used across multiple sites, a single installation qualification (IQ) can be automated and applied across multiple manufacturing sites, significantly reducing the overall cost, time and effort required for the validation of all factories. Standardization of internal processes driven by the template approach equates to higher process harmonization and manufacturing flexibility As the MES template is based on the identification of similar internal processes and best practices, it will naturally help to align these and harmonize processes where applicable. In turn, this promotes best practice, reduce ongoing maintenance overheads, and gives additional flexibility to manufacturing operations. While there are clear benefits to the utilization of MES templates, creating these does present some challenges and it would be naive to ignore the initial effort required. Challenges in creating an MES template An empowered Center of Excellence capable of implementing the template approach across multiple sites Creating the right team in the Center of Excellence is paramount to a successful multisite MES deployment using templates. The team needs to represent and understand the diverse needs of all factories and disciplines and may include global quality, planning, ERP integration, equipment integration, and analytics leaders, supported by a technical team and local representatives in each domain of expertise. It must be trusted and empowered to define the template strategy and ensure excellent communication with all stakeholders in the project. Management effort to establish an aligned roll-out plan taking into consideration the template release dates and each site’s roll-out strategies While the MES is typically initially deployed at a single pilot site, the complete project needs to consider the wider system deployment and ensure that timelines are convergent with template release dates and individual site needs. Additional timeline and effort to establish the first template baseline Although the overall MES solution may be based on multiple templates, where synergies between sites and processes have been grouped, it is vital for the first baseline template to maximize standardization. Idiosyncrasies of local manufacturing or operational processes need to be examined, understood, and, if necessary, modified to conform to a standard approach to reap the benefits of the single system. Indeed, as many processes as possible should be adapted to the common system, rather than the other way around, but this will require in-depth understanding. While this will take time and effort by the Center of Excellence team, which should not be underestimated, getting the baseline template right is key to reducing overall project timescales and smooth global deployment of the MES. All you need to know to succeed in multisite MES program A multisite MES roll-out affects multiple stakeholders and processes. We want to share our experience and expertise with you and help you get where you need to be to make your business strong, competitive and resilient for the future. This series of blogs will take you step by step through the challenges and opportunities it offers. It comprises 7 different sections, that will guide you on your journey: 1. Benefits and how to build a business case 2. Challenges of multisite MES implementation projects and how to overcome them 3. Multisite project stages 4. Center of excellence / governance 5. Advantages of an MES template and a standardized approach to roll-out 6. MES architecture for easy multisite deployments Read more Read more Read more Read more Read more Read more Containers, devOps and continuous delivery strategies for multisite MES White paper + Technical Guide Download now All articles Industries: Discrete manufacturing Electronics manufacturing Industrial Equipment Medical device manufacturing Semiconductor manufacturing Tags: MES implementation multisite deployments Article by: Pedro Rodrigues Deployment Service Area Director More articles from this author March 23, 2023 Modern MES Architecture for Easy Multisite Deployment Industries: Discrete manufacturing / Electronics manufacturing / Industrial Equipment / Medical device manufacturing / Semiconductor manufacturing Tags: MES implementation / multisite deployments Pedro Rodrigues Deployment Service Area Director Advanced MES Critical Capabilities for Electronics Manufacturing – Part 2 Next Post > MES selection tools – Why should manufacturing Leaders care? Related articles Discrete manufacturing January 8, 2026 The Role of System Integrators in MES Implementations Manufacturing Execution Systems (MES) are foundational to modern high-tech manufacturing. For manufacturers operating in domains supported by Critical Manufacturing MES, including semiconductors, electronics, medical devices, and industrial equipment, implementation is not simply an IT rollout. Read more AI December 4, 2025 The Rise of Copilots: Transforming the Interaction with Manufacturing Execution Systems (MES) The manufacturing floor is undergoing a digital revolution, and at the forefront of this change is the emergence of AI Copilots. Read more Discrete manufacturing November 27, 2025 Why Generic Data Platforms Fall Short and Purpose-Built Solutions Win When global manufacturers evaluate their enterprise analytics strategy, they face a critical decision: build a custom solution on a generic data platform like Snowflake, Azure Synapse, or Databricks, or invest in a purpose-built manufacturing intelligence platform like Critical Manufacturing’s Enterprise Data Platform (EDP)? Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy   Loading Comments...   Write a Comment... Email (Required) Name (Required) Website",
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Read more Semiconductor manufacturing July 21, 2022 Wafer Fab Size and its Effect on Cycle Time Why tool redundancy matters when it comes to improved cycle time, and how MES can help reduce CAPEX towards tool redundancy while maintaining the desired throughput. Read more Discrete manufacturing April 16, 2021 Meeting the Manufacturing Data Management Challenge Critical Manufacturing hosted a webinar with Julie Fraser, based on a survey of over 300 executives from around the world. It explored how the leaders are pursuing data management and what should be the priorities related to data management in manufacturing. Read more Discrete manufacturing March 25, 2021 MES for Resilient Operations The COVID-19 Pandemic is perhaps the biggest reality check for every single business entity in the world. Today, we will explore why your operation needs a MES from a digitalization and post-pandemic perspective, and how it directly contributes to building a value chain-wide reliance. Read more Electronics manufacturing June 25, 2020 Successfully using Sales Reps for Enhanced Customer Engagement in North America Critical Manufacturing increased its sales representative base significantly in 2020 for the Electronics and SMT Industry in North America. We’ve added a category called Manufacturer’s Reps. What is the reasoning behind this? Read more Discrete manufacturing January 30, 2020 Learning to Work Better with Machines as Your New Collaboration Partner It is no secret technology keeps advancing. Today, it seems to do so at an accelerated pace with a level of innovation that is nothing short of spectacular! These advances have created new opportunities for manufacturers to explore new ways to increase productivity. At the same time, these technologies have opened up greater global competition, which is now placing new pressure to be more creative with how work gets done. 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        "bodyText": "Home » Discrete manufacturing » A Guide to Data Analytics For Manufacturing – Ingestion, Data Lakes and Message Brokers MES for Industry 4.0 Industries Resources News Company Careers en English Schedule a demo Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Semiconductor Manage advanced scenarios with the edge capabilities for innovation and efficiency Electronics Upgrade process capability and manage capacity and quality, while driving down the cost Medical Devices Shift focus from managing compliance and risk to agility and product quality Industrial Equipment Accelerate digital transformation across complex discrete industries Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions Highlight Analyst Report Tech-Clarity Assessment Tool Get the report View all insights What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Recent News Step Into the Factory of the Future at Hannover Messe 2026 Book a meeting About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal MES for Industry 4.0 Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Industries Semiconductor Electronics Medical Devices Industrial Equipment Resources Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions News What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Company About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal A Guide to Data Analytics For Manufacturing – Ingestion, Data Lakes and Message Brokers May 7, 2020 Posted by: Francisco Almada Lobo This is the fourth in a series of blog posts on Data Platforms for Manufacturing. Throughout this series, I will try to explain my own learning process and how we are applying these technologies in an integrated offering at  Critical Manufacturing . For reasons that I started exploring in the  first post of this series , many companies seem to be strategically lost among the various digitization initiatives and are experiencing severe difficulties in achieving results from the investments made, particularly in the topic of Data Analytics and IoT. Contrary to what happened in the previous industrial revolutions, manufacturing has lagged in implementing the base technologies underlying this data transformation. Significant amounts of generated data are being stored with no immediate plans for being used: this is  dark data . Edge solutions will decisively contribute to the convergence of IT and OT, although to be effective, have to consider a number of requirements related to architecture, automation and central management. Today’s post talks about Ingestion, Data Lakes and Message Brokering. Data Warehouses Not so long ago, production systems were essentially transactional. MRP or MES systems executed transactions based on data that was stored in relational databases. As databases kept growing, companies realized that the means to improve the performance of their factories was by using data analysis, which was needed as real-time as possible to make the analysis useful to their decision-making.  These analytical systems however increased the loads in the databases of the transactional systems that were the backbone of the business. As the need for data analysis grew, and the database loads continued to expand, industrial companies began to change the paradigm and in the early 2000’s created Data Warehouses . The data would be loaded in batch mode from the transactional databases by ETL tools (Extract, Transform and Load). In addition to extraction, the objective was to standardize data from different systems into a single representation and single structure within the Warehouse. Before the data is loaded, it is filtered and cleansed to generate “information” that is stored in OLAP (Online Analytical Processing) technology. The data is pre-calculated and aggregated, making analysis faster. OLAP databases are divided into one or more cubes with dimensions (e.g. time and date), created to facilitate data analysis. As the data sources grew in size and variety, things got more complicated, and the Data Warehouse implementation projects became extremely long and prohibitively expensive, since they implied a normalization of all business data. At the same time, the need to include unstructured data also increased. Photos or multimedia files, data maps, test results, etc., do not have a predefined data model, and it was difficult to handle these data types using traditional database systems. In addition, as businesses grew to rely on their data warehouses, they faced increasing scale challenges. The underlying technology was designed to grow vertically on single machines, which became increasingly larger and more expensive as the businesses scaled, adding pressure to reduce the amounts of data stored. At a certain point, projects would routinely take 18 to 24 months to build and get an enterprise-wide Data Warehouse ready to use. Data Lakes Companies searching for cheaper ways to store their data found an open source framework called Hadoop, which through a distributed file system called Hadoop Distributed File System (HDFS) and a batch data processing framework called MapReduce , allowed the use of commodity hardware to store large volumes of data and thus significantly reduce costs. Apache Hadoop MapReduce High-level Algorithm Hadoop provided the foundation for a ‘data lake’ architecture. In this new paradigm, there’s a clear separation between storage and processing. Storage is achieved through a centrally stored location based on a distributed file system, which encompasses structured, unstructured and semi-structured data – the data lake. There are different data processing engines optimized for different types of processing which connect to the data lake, retrieve the necessary data for queries, and compute the answers to those queries. With Hadoop, a highly scalable storage platform was achieved, as it can store data durably and cheaply by distributing across hundreds of inexpensive servers that operate in parallel with very little overhead, scaling almost linearly. Data lake architectures have solved many problems and are used in most private clouds, but they do not solve all problems. Although they are cheap and scalable, they are not particularly fast in both writing and reading data for queries. Apache Kafka’s Contribution The Apache Kafka Project started within LinkedIn, later becoming an open source project .  LinkedIn needed a solution to track activity events generated in their website such as pageviews, likes, reshares, keywords typed in a search query, ads presented, etc., which were obviously critical to monitor and generate insights around user engagement and overall relevance of their products. As they didn’t find any commercial solution that would fulfill their requirements, they decided to create their own. The solution created is fault-tolerant and persists the data both in a durable and immutable way, indefinitely if needed. Unlike data lakes, it offers high throughput, allowing it to cope with thousands of messages per second with very low latency– in the range of milliseconds. Kafka runs as a cluster on one or more servers that can span multiple data centers, which store streams of records in categories called topics. Scalability is achieved by adding additional nodes. Kafka also leverages capabilities like replication and partitioning. Apache Kafka High Level Architecture Kafka replaces message brokers with producer API’s, which allow applications to publish a stream of records to one or more topics; and consumer API’s, which allow applications to subscribe to one or more topics and process the stream of records created by the producers. But unlike message brokers, Kafka is natively persistent . While in a normal message queue system, it is not advisable to store data (reading a message removes it from the queue and such systems scale poorly as data accumulates beyond the memory size), Kafka doesn’t have such problems. It is persisted to disk and replicated for fault tolerance. This has been done primarily to guarantee that the system wouldn’t collapse in case data would be produced at a much higher pace than what would be read. It would therefore store the messages until the consumers would have the ability to read the messages. Kafka should be looked at like a log system for events, coming from any system (equipment data, MES, ERP, etc.), which then replicates the data into the next element of the data platform architecture, the stream processing. Kakfa is one of the most widely adopted open source projects and has many similarities to a data lake: it is a storage and transfer system for real-time streams. In Flow Data Rivers Water analogies abound in the new data management architectures. After the Data Lake, there is the Data River. Why? Data sources coming from a variety of locations are like streams flowing together to create the main Data River, an end-to-end streaming analytics stack to ingest real-time data, store it, and build dams. Once a company is ready to tap into possible insights to improve whatever process it needs, it will build a dam to execute complex queries to access not just the stored historical data, but also brand-new data being generated. This will be discussed in the next post of this series, dedicated to Processing and Serving. Should you want to continue reading this and other Industry 4.0 posts, subscribe here and receive notifications of new posts by email. All articles Industries: Discrete manufacturing Tags: Data platform IIoT MES Article by: Francisco Almada Lobo CEO at Critical Manufacturing, Industry 4.0 Evangelist and Educator More articles from this author November 6, 2025 Manufacturing Has Suddenly Become a Prime Cyber Target August 7, 2025 MCP and AI Agents in Manufacturing: Big Potential, Bigger Responsibility May 24, 2024 Industry Pi.0 – How Mature is your Manufacturing Data Analytics Strategy? May 8, 2024 Breaking Silos, Boosting Efficiency: The Transformative Power of MES Centers of Excellence January 19, 2024 Digital Twin: It’s a concept not an application June 4, 2020 A Guide to Data Analytics For Manufacturing – Stream Processing Industries: Discrete manufacturing Tags: Data platform / IIoT / MES Francisco Almada Lobo CEO at Critical Manufacturing, Industry 4.0 Evangelist and Educator MES Enables MedTech to fight Pandemic Demands Next Post > Success Factors for Shop Floor Scheduling Related articles Discrete manufacturing January 8, 2026 The Role of System Integrators in MES Implementations Manufacturing Execution Systems (MES) are foundational to modern high-tech manufacturing. For manufacturers operating in domains supported by Critical Manufacturing MES, including semiconductors, electronics, medical devices, and industrial equipment, implementation is not simply an IT rollout. Read more AI December 4, 2025 The Rise of Copilots: Transforming the Interaction with Manufacturing Execution Systems (MES) The manufacturing floor is undergoing a digital revolution, and at the forefront of this change is the emergence of AI Copilots. Read more Discrete manufacturing November 27, 2025 Why Generic Data Platforms Fall Short and Purpose-Built Solutions Win When global manufacturers evaluate their enterprise analytics strategy, they face a critical decision: build a custom solution on a generic data platform like Snowflake, Azure Synapse, or Databricks, or invest in a purpose-built manufacturing intelligence platform like Critical Manufacturing’s Enterprise Data Platform (EDP)? Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy   Loading Comments...   Write a Comment... Email (Required) Name (Required) Website",
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She’s not only a semiconductor geek but also a pop-culture addict. Eager to understand more about the industry part on the international theater and the consequences to our daily lives, Mariana is always on top of the latest news, with a strong presence on Twitter and LinkedIn. Articles written by this author Discrete manufacturing August 10, 2023 AI, IoT, and MES: Exploring their Roles in the Future of Manufacturing AI has always been a topic filled with concern and curiosity when it is discussed in manufacturing. Manufacturing leadersneed to look at AI pragmatically, focusing on its potential in current operations instead of concern over an AI takeover. Read more Semiconductor manufacturing July 7, 2022 Is AaS the New Frontier for the Semiconductor Industry? Understanding the role of the modern MES platform in helping Semiconductor manufacturers adapt to the AaS paradigm. Read more Semiconductor manufacturing March 10, 2022 Reimagining Semiconductor MES Typically, semiconductor fabs have an array of IT applications covering WIP, track & trace, scheduling, maintenance, reporting and analytics. While this approach might have worked in the past, the high demand from the market subjected the industry to a great deal of pressure. Legacy MES needs to evolve from a traceability solution to a full-fledged platform supporting advanced scenarios in Semiconductor. Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. 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Why has it been so conservative and slow to adopt big data? Read more Discrete manufacturing March 20, 2020 Industry 4.0: Can We Rescue It From Failure? Finding success with smart factories can be a frustrating experience. It’s not for lack of trying, since most major companies have undertaken projects, but as a Cap Gemini report shows, it appears they are not getting the results they’d expected. Read more Discrete manufacturing March 17, 2020 Now’s the time to get your MES selection going The selection process for a MES system is by nature time consuming. If this downtime is properly used by the manufacturer, for all phases in which physical contact is not necessary once restrictions are lifted, it will be in ideal conditions for the final stages of the process. Read more Discrete manufacturing February 17, 2020 Surprise! In the era of Industry 4.0, the most read paper of 2019 was about … MES replacement It is no secret technology keeps advancing. Today, it seems to do so at an accelerated pace with a level of innovation that is nothing short of spectacular! These advances have created new opportunities for manufacturers to explore new ways to increase productivity. At the same time, these technologies have opened up greater global competition, which is now placing new pressure to be more creative with how work gets done. Read more Discrete manufacturing December 3, 2019 10 Numbers on Smart Manufacturing I just read CapGemini’s Smart factories @ scale report. Some of the numbers in it caught my eye. The report is good and the methodology seems solid. And yet I believe that with such self-reported research, we need to take the findings with a grain of salt. I will be doing some critical analysis in this post. Read more 1 2 Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. 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        "bodyText": "Home » Discrete manufacturing » 10 Numbers on Smart Manufacturing MES for Industry 4.0 Industries Resources News Company Careers en English Schedule a demo Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Semiconductor Manage advanced scenarios with the edge capabilities for innovation and efficiency Electronics Upgrade process capability and manage capacity and quality, while driving down the cost Medical Devices Shift focus from managing compliance and risk to agility and product quality Industrial Equipment Accelerate digital transformation across complex discrete industries Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions Highlight Analyst Report Tech-Clarity Assessment Tool Get the report View all insights What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Recent News Step Into the Factory of the Future at Hannover Messe 2026 Book a meeting About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal MES for Industry 4.0 Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Industries Semiconductor Electronics Medical Devices Industrial Equipment Resources Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions News What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Company About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal 10 Numbers on Smart Manufacturing December 3, 2019 Posted by: Francisco Almada Lobo I just read CapGemini’s Smart factories @ scale report. Some of the numbers in it caught my eye. The report is good and the methodology seems solid. And yet I believe that with such self-reported research, we need to take the findings with a grain of salt. I will be doing some critical analysis in this post. However, here’s a disclaimer. In recent years, I’ve been investing a large portion of my time convincing manufacturers that a modern, flexible, modular and scalable MES (Manufacturing Execution System) is the essential backbone of a successful smart manufacturing transformation. So, while some may find this analysis biased, I have researched data points confirming this theory. #1 – MES is #1 in perceived benefit potential One of the data points I immediately seized on is in the graphic. It indicates that executives understand MES has the potential to deliver benefits. It is also one of the most widely implemented of the technologies included in this report. #2 – 1000 respondents above $1 billion The survey included 1,000 manufacturers, all with annual revenues above $1 billion. This data point alone shows that many larger companies are pursuing Smart Manufacturing. The future is exciting for anyone working in this area. Details: 46% of respondents have annual revenues between $1 billion and $5 billion, 37% between $5 billion and $10 billion and 17% above $10 billion. #3 – $4.4 billion market in 2019 “The market for Smart Manufacturing platforms alone stands at $4.4bn in 2019 and is expected to grow at a CAGR of 20% over the next five years.” They cite this from a MarketsAndMarkets forecast report. Every day I get an e-mail about a new report forecasting a huge growth in Smart Manufacturing, manufacturing software, MES, IoT, etc. I have significant doubts about such specific numbers. Yet our experience is also that manufacturers are investing. #4 – Investing 3.24% of revenues next 3 years This is a huge number. If we do a very conservative estimate of the revenue figures of the respondents, by considering their revenues are in the lower limit of the interval, we get that the average size is $4.1B. This means that the 3.24% that the 1000 respondents will invest annually in smart manufacturing translates into approximately $130B per year. This number also compares with the 1.7% of revenues these companies invested on average over the past 3 years. Why would investment double suddenly, some 8 to 9 years after the original German Industry 4.0 program was created? I’m guessing this reflects respondents’ excitement about this topic and the benefits that it will bring. DOWNLOAD WHITE PAPER The New MES: Backbone of Industry 4.0. Moving from Concept to Implementation with Industry 4.0 by Iyno Advisors and Critical Manufacturing DOWNLOAD #5 – 68% have ongoing initiatives 68% of respondents have ongoing Smart Manufacturing initiatives. This number increased from 43% in 2017. The report says there are three key technologies involved in “smart”: connectivity (leveraging IoT); intelligent automation (e.g., advanced robotics, machine vision, distributed control, drones); and cloud-scale data management and analytics (e.g., implementing predictive analytics/AI). By this definition, most factories can be called smart. A) Connectivity is not new, and manufacturers frequently call their sensor data exposed via PLCs or other interfaces IoT. B) Intelligent automation seems new, but “machine vision,” for instance, is a technology that I used when I started working in 1996… C) Cloud-scale analytics… This is vague. If on-premises big data solutions and analytics without AI models are included, and the actual scale is not specified, companies all have analytics. #6 – 30% have made their factories smart (!) “Organizations have, on average, made 30% of their factories smart”. With the definition of what smart means in #5, this number is meaningless. Yet the report adds also refers to the main characteristic of a smart factory being the “’closed-loop,’ data-driven optimization of end-to-end operations.” This is far harder. The site must use connectivity, intelligent automation and data management and analytics to analyze, and then through decision support, actually improve end-to-end operations. This is the ultimate goal. But 30% doing this today seems extremely farfetched and contradicted by some of the next data points. #7 – 14% succeed This is where the promises are hitting the wall of reality. According to the report, only 14% call their smart factory initiatives a success. Nearly 60% say their initiatives “are either struggling or that it is too early to comment.” If of the 68% of companies with ongoing Smart Manufacturing initiatives, 60% have not (yet) realized the benefits, only 8% did. If 30% are already smart factories, then 22% of the smart factories have not yet realized their benefits! To me, this means that 22% are not really “smart”! So, the million-dollar (or in this case billion-dollar) question is: why are Smart Manufacturing initiatives not paying off? #8 – 62% have no MES/SCADA I believe this is the answer to the million-dollar question. Nearly two-thirds lack MES – the software layer that controls the process at the factory level. Yet it appears not to be the focus of many Smart Manufacturing initiatives. 38% using MES is a very small delta of additional MES implementations as part of Smart Manufacturing initiatives vs. previous research over the past decade that consistently shows MES is used by 30% or more. On the other hand, newer technologies such as industrial IoT systems (32%), robotics/cobotics (32%), analytics and AI (31%), plant digital twins (24%), AR/VR (22%) are likely to having been applied only recently. So, what does this mean? It means that many manufacturers’ Smart Manufacturing initiatives are adding new technologies without the base systems in place. Without systems such as PLM or MES to control processes and put data into context, the initiatives fall short of their promises. #9 – 51% say technology implementation is a challenge We fear that many companies are entering these initiatives not only without a solid technology base, but also with skewed expectations. This becomes clear in a statement from Martin Widsing, senior manager – Virtual Methods and IT at Volvo Cars. “The biggest struggle is that there are no products and platforms available, ready to use, that we can simply purchase, implement, and then start using.” This makes Smart Manufacturing sound like just adding a new technology. However, companies cannot jump past overall strategy for digitalization and years of progressive maturity steps. #10 –- $1.5 trillion to $2.2 trillion add to GDP According to the report, the estimated productivity gains from Smart Manufacturing will add something between $1.5 trillion and $2.2 trillion to the global GDP. The number is staggering, but the methodology looks quite solid. Researchers derive it from the expected target productivity gains for each smart factory and from all gains from existing initiatives, with these coming both from “efficiency by design and operational excellence”. This is then factored on the current value-add contribution that manufacturing makes to global GDP. (My) conclusion: There is huge enthusiasm around Smart Manufacturing and Industry 4.0 technologies and approaches. The potential benefit to companies and the global economy is enormous. Yet if not done properly, manufacturers will continue to invest significant amounts and struggle to realize the huge potential offered by smart factories. For now, the most important take-away is: without a well-defined strategy revolving around enterprise systems that can act as the core, properly defined and implemented, the likelihood of success is very slim… no matter how much money companies throw at the problem. CapGemini’s Smart factories @ scale is publicly available for download here: https://www.capgemini.com/research/smart-factories-at-scale/ This 40+ page report is full of charts and infographics, and with lots of food for thought. I have shared my thoughts. I hope you will share yours with me too! All articles Industries: Discrete manufacturing Tags: Industry 4.0 MES smart manufacturing Article by: Francisco Almada Lobo CEO at Critical Manufacturing, Industry 4.0 Evangelist and Educator More articles from this author November 6, 2025 Manufacturing Has Suddenly Become a Prime Cyber Target August 7, 2025 MCP and AI Agents in Manufacturing: Big Potential, Bigger Responsibility May 24, 2024 Industry Pi.0 – How Mature is your Manufacturing Data Analytics Strategy? May 8, 2024 Breaking Silos, Boosting Efficiency: The Transformative Power of MES Centers of Excellence January 19, 2024 Digital Twin: It’s a concept not an application June 4, 2020 A Guide to Data Analytics For Manufacturing – Stream Processing Industries: Discrete manufacturing Tags: Industry 4.0 / MES / smart manufacturing Francisco Almada Lobo CEO at Critical Manufacturing, Industry 4.0 Evangelist and Educator The single greatest challenge facing automotive manufacturers Next Post > 10 Numbers on Smart Manufacturing – MESA’s Response Related articles Discrete manufacturing January 8, 2026 The Role of System Integrators in MES Implementations Manufacturing Execution Systems (MES) are foundational to modern high-tech manufacturing. For manufacturers operating in domains supported by Critical Manufacturing MES, including semiconductors, electronics, medical devices, and industrial equipment, implementation is not simply an IT rollout. Read more AI December 4, 2025 The Rise of Copilots: Transforming the Interaction with Manufacturing Execution Systems (MES) The manufacturing floor is undergoing a digital revolution, and at the forefront of this change is the emergence of AI Copilots. Read more Discrete manufacturing November 27, 2025 Why Generic Data Platforms Fall Short and Purpose-Built Solutions Win When global manufacturers evaluate their enterprise analytics strategy, they face a critical decision: build a custom solution on a generic data platform like Snowflake, Azure Synapse, or Databricks, or invest in a purpose-built manufacturing intelligence platform like Critical Manufacturing’s Enterprise Data Platform (EDP)? Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy   Loading Comments...   Write a Comment... Email (Required) Name (Required) Website",
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        "bodyText": "Home » Discrete manufacturing » A Guide to Data Analytics For Manufacturing MES for Industry 4.0 Industries Resources News Company Careers en English Schedule a demo Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Semiconductor Manage advanced scenarios with the edge capabilities for innovation and efficiency Electronics Upgrade process capability and manage capacity and quality, while driving down the cost Medical Devices Shift focus from managing compliance and risk to agility and product quality Industrial Equipment Accelerate digital transformation across complex discrete industries Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions Highlight Analyst Report Tech-Clarity Assessment Tool Get the report View all insights What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Recent News Step Into the Factory of the Future at Hannover Messe 2026 Book a meeting About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal MES for Industry 4.0 Why Critical Manufacturing MES Complete Modular Solution MES for Industry 4.0 Seamless User Experience MES Investment and ROI MES Migration Critical Manufacturing Framework Easy Deployment Cybersecurity for Modern Manufacturing Smart Factory Data Platform for Manufacturers AI Copilots Augmented Reality fabLIVE Factory Digital Twin Factory Automation Material Logistics Advanced Planning and Scheduling Integrations Connect IoT Enterprise Integration Unified Namespace Digital Accelerators Observability Collaboration Hub Apps Apps Ecosystem Early Adopter Program Genealogic Resource Monitor Smart Inspect WIP Analyzer Twinzo Connector c-Alice Industries Semiconductor Electronics Medical Devices Industrial Equipment Resources Analyst reports Tech-Clarity Manufacturing Operations Digital Assessment Gartner® Hype Cycle™ for Manufacturing Operations Strategy 2025 Gartner Market Guide for MES 2025 IDC MarketScape: Worldwide MES 2024-2025 Frost Radar™ for MES 2024 Read White Papers eBooks Case Studies Brochures Data Sheets Blog Making Industry 4.0 a Reality Developer Blog Watch Webinars on-demand Videos MES & Industry 4.0 Summit Sessions News What’s new Press Releases Media Articles Events Trade Shows MES & Industry 4.0 International Summit 2025 Company About Who We Are Leadership R&D Contact Customers Our Customers Success Stories Customer Training Program Partners Find a Partner Become a Partner Partner Training Program Partner Implementation Packages Services Technology Business Intelligence Legacy MES Support Customer Portal A Guide to Data Analytics For Manufacturing April 14, 2020 Posted by: Francisco Almada Lobo This is the first in a series of blog posts on Data Platforms for Manufacturing. For reasons that I will explore throughout this series, many companies seem to be strategically lost among the various digitization initiatives and with many difficulties in achieving results from the investments made, particularly in the trendiest and related to Industry 4.0 and with the world of Data Analytics and IoT. In general, it seems to me that the main reason for this is that, surprisingly or not, these technologies associated with the fourth industrial revolution did not originate in the … manufacturing industry. Throughout this series, I will try to explain my own learning process and how we are applying these technologies in an integrated offering at Critical Manufacturing. A Data Revolution is Before Us Clive Humby, UK Mathematician and architect of Tesco’s Clubcard, is widely credited as the first to coin the phrase in 2006: “Data is the new oil. It’s valuable, but if unrefined it cannot really be used. It has to be changed into gas, plastic, chemicals, etc. to create a valuable entity that drives profitable activity; so must data be broken down, analyzed for it to have value.” There is no doubt that we are witnessing an authentic technical revolution. Call it Industry 4.0, Internet of Things, Big Data, or Artificial Intelligence; the proliferation of solutions facilitating Industry 4.0 is accelerating. Whatever the perspective is with which we look at this fast-paced evolution, there is an asset that is at the center of everything: data . However, contrary to what happened in the previous industrial revolutions where manufacturing was at the focus of the revolution, manufacturing has lagged in implementing the base technologies underlying this data transformation. It has been conservative and extremely slow to realize that the application of these technologies is invaluable, perhaps much more than in any other segment.  They are refining, but at a much slower pace. Copyright 2018 – Dresner Advisory Services, Licensed to Arcadia Data Case in point, the term “The Internet of Things” was coined by Kevin Ashton in a presentation to Proctor & Gamble in 1999; and more than 20 years later, manufacturing is still learning the meaning of IoT and trying to devise strategies to take advantage of it. But, Manufacturing seems to be trying to make up for lost time, and at least with regard to future intentions, it is the most relevant segment. It remains to be seen whether it does it correctly and with results. Copyright 2018 – Dresner Advisory Services, Licensed to Arcadia Data But let’s step back for a moment and understand what were the fundamental changes that allowed this data revolution: The miniaturization and accessibility of electronics . Moore’s Law in 1965 stated that the number of transistors packed in a given unit of space would double every two years. although the periods of doubling shortened and today it seems we’re reaching saturation, this postulate has remained true for many decades. The significant improvement of hardware and software capabilities with attractive price points to process and store data, including cloud technologies. Although this seems new, CompuServe offered small amounts of disk space for file storage back in 1983. The evolution of artificial intelligence , specifically machine learning. These are not ‘new’ algorithms. Deep Learning started in 1943 when Walter Pitts and Warren McCulloch created a computer model based on the neural networks of the brain. In addition to the ones above, it is also worth mentioning that a significant part of the evolution of tools that are used today in the area of big data and analytics originated from the need to process data massively generated mainly by social networks. In fact, the primary data technology evolution had its origin in social media. Huge arrays of unstructured data were being generated, with no way of processing or capturing the massive data ranges with existing data storage and analytics capabilities. Both the technical processing needs and the requirement for real-time analysis led to a shift from batch processing to streaming, and ever since the big data technologies have never been the same. The Birth of Data Platforms – Does One Solution Fit All? The new requirements and challenges posed by the frequency and volume of data being produced and the need to seize this data by a new breed of scientists, determined to use advanced analytics solutions ranging from graphical visualization to artificial intelligence, gave birth to a new type of application called IoT data platforms . I don’t like the name IoT data platform, because it gives rise to great confusion about what a data platform truly is and what relationship it has with the IoT. This topic will also be explored later, but keep a key idea for now: a data platform can have an IoT source, but also any other type of software applications. So I’m just going to call it Manufacturing Data Platform . While many of the aspects of data handling and processing are common to any type of data platform, there’s the need to rethink these in the light of the specific requirements of manufacturing in discrete segments with pre-installed solutions that fulfill the required tracking and control needs. Although in general these platforms can be implemented in parallel to the tracking and control software solutions, the overall value these create is nothing but a fraction of what they could achieve if the solutions were conceived in combination to leverage each other’s capabilities. In the next post of this series, we’ll explore the broader topic of data analytics, including data platforms: why they exist, and most importantly, how they can be used in the manufacturing context to leverage existing advanced solutions, such as modern MES systems. Stay tuned! MES vs ERP: Define, integrate, implement MES with controls, ERP Download Now All articles Industries: Discrete manufacturing Tags: Data platform Industry 4.0 MES Article by: Francisco Almada Lobo CEO at Critical Manufacturing, Industry 4.0 Evangelist and Educator More articles from this author November 6, 2025 Manufacturing Has Suddenly Become a Prime Cyber Target August 7, 2025 MCP and AI Agents in Manufacturing: Big Potential, Bigger Responsibility May 24, 2024 Industry Pi.0 – How Mature is your Manufacturing Data Analytics Strategy? May 8, 2024 Breaking Silos, Boosting Efficiency: The Transformative Power of MES Centers of Excellence January 19, 2024 Digital Twin: It’s a concept not an application June 4, 2020 A Guide to Data Analytics For Manufacturing – Stream Processing Industries: Discrete manufacturing Tags: Data platform / Industry 4.0 / MES Francisco Almada Lobo CEO at Critical Manufacturing, Industry 4.0 Evangelist and Educator MedTech: Globalize and Scale using MES Next Post > How manufacturing execution systems can improve process capacity Related articles Discrete manufacturing January 8, 2026 The Role of System Integrators in MES Implementations Manufacturing Execution Systems (MES) are foundational to modern high-tech manufacturing. For manufacturers operating in domains supported by Critical Manufacturing MES, including semiconductors, electronics, medical devices, and industrial equipment, implementation is not simply an IT rollout. Read more AI December 4, 2025 The Rise of Copilots: Transforming the Interaction with Manufacturing Execution Systems (MES) The manufacturing floor is undergoing a digital revolution, and at the forefront of this change is the emergence of AI Copilots. Read more Discrete manufacturing November 27, 2025 Why Generic Data Platforms Fall Short and Purpose-Built Solutions Win When global manufacturers evaluate their enterprise analytics strategy, they face a critical decision: build a custom solution on a generic data platform like Snowflake, Azure Synapse, or Databricks, or invest in a purpose-built manufacturing intelligence platform like Critical Manufacturing’s Enterprise Data Platform (EDP)? Read more Modern MES solution for manufacturers of discrete products with special focus on the following industries: Semiconductor, Electronics, Medical Devices and Industrial Equipment manufacturing. Industries Semiconductor Medical Devices Electronics Industrial Equipment Insights Blog White Papers eBooks Brochures Case Studies News Press Releases Media Articles Webinars Company Leadership R&D Find a Partner Become a Partner Careers Contact us PT CN DE MY MX USA Terms & Privacy © 2009 - 2026 Critical Manufacturing SA All Rights Reserved Contact us PT CN DE MY MX USA Terms & Privacy   Loading Comments...   Write a Comment... Email (Required) Name (Required) Website",
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