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  • Published on
    December 13, 2025

    MES in 2025: Why MES Systems Are No Longer Just "Shop Floor Systems" but the Backbone of Production Data

    MESMES SystemOmnimes
    System MES (Manufacturing Execution System) - If someone in 2025 still thinks of an MES system as "terminals at workstations and reports from the department," it's about as current as a fax machine in OT-IT integration. The Manufacturing Execution System has ceased being a shop floor application. MES has become the operational layer of truth between the world of automation (OT) and the business world (IT). MES systems in 2025 are operational platforms that determine whether a company thrives on availability, quality, lead time, and energy efficiency. The MES system has stopped being a cost—it has become a mechanism for steering competitiveness.
  • Published on
    September 1, 2025

    Integration of HMI Systems with Simulation: A Strategic Foundation for Resource Optimization in Industry 5.0

    HMIIndustry 5.0MES systemOmnimes
    In the era of industrial digital transformation, the global human-machine interface (HMI) market reached USD 24.5 billion in 2024 and is projected to grow to USD 55.2 billion by 2033, with a compound annual growth rate (CAGR) of 9.7%. At the same time, the simulation software market expanded from USD 19.95 billion in 2024 to an expected USD 36.22 billion by 2030 at a CAGR of 10.4%. These dynamic trends reflect a fundamental shift in the approach to optimizing production resources.
  • Published on
    August 26, 2025

    Sparkplug B protocol with MES systems: a modern approach to failure prediction and energy optimization in industry

    MQTTSparkplug BOmnimesMES system
    The integration of the Sparkplug B protocol in MES systems enhances energy efficiency and reliability in production.
  • Published on
    August 15, 2024

    Using TensorFlow in MES Systems

    TensorFlowXGBoostLightGBMCatBoostMES systemalgorithm performance
    Comparison of TensorFlow, XGBoost, LightGBM, and CatBoost algorithms in fault detection in MES systems. Practical applications, time-series and tabular data analysis, and performance evaluation in terms of speed and computational resources.
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