// ROBOTICS AND SMART FACTORIES TERM

Data-Driven Manufacturing

A manufacturing approach where decisions are made based on insights derived from collected and analyzed data, rather than intuition or traditional methods. It leverages data to optimize every aspect of production.

Data-Driven Manufacturing — illustration from Wikipedia
Image via Wikipedia

TECHNICAL DEFINITION

Data-driven manufacturing (DDM) is an operational paradigm that leverages real-time and historical data from various sources (e.g., IoT sensors, MES, ERP) to inform, optimize, and automate production processes, quality control, maintenance, and supply chain decisions, enhancing efficiency and agility.

BACKGROUND

Smart manufacturing is a broad category of manufacturing that employs computer-integrated manufacturing, high levels of adaptability and rapid design changes, digital information technology, and more flexible technical workforce training. Other goals sometimes include fast changes in production levels based on demand, optimization of the supply chain, efficient production and recyclability. In this concept, a smart factory has interoperable systems, multi-scale dynamic modelling and simulation, intelligent automation, strong cyber security, and networked sensors.

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SYNONYMS & ALIASES

  • Smart manufacturing
  • Digital manufacturing
  • Analytics-driven manufacturing

USAGE NOTE

Data-driven manufacturing helps improve efficiency, reduce waste, and enhance product quality by relying on factual evidence and predictive insights.

DEVELOPERS

Organizations developing technology related to Data-Driven Manufacturing.

  • Siemens

    A global technology powerhouse focused on industrial automation, digitalization, and smart infrastructure, providing software solutions like MindSphere for industrial IoT and digital twin technology essential for data-driven manufacturing.

  • GE Digital

    A subsidiary of General Electric, specializing in industrial IoT software, asset performance management, and manufacturing operations management systems that leverage data to improve operational efficiency and predict maintenance needs.

  • Rockwell Automation

    A leading provider of industrial automation and information solutions, offering integrated control systems, software, and services that enable manufacturers to collect, analyze, and act on production data.

  • PTC

    Known for its industrial IoT platform (ThingWorx), augmented reality solutions, and CAD software, PTC helps manufacturers connect products, processes, and people to derive insights from data and optimize operations.

  • SAP

    A market leader in enterprise application software, SAP provides solutions like SAP S/4HANA and SAP Digital Manufacturing that integrate manufacturing data with business processes for real-time insights and data-driven decision making.

  • Dassault Systèmes

    Offers 3D design software, 3D Digital Mock Up, and Product Lifecycle Management (PLM) solutions, enabling virtual twins and comprehensive data management across the entire manufacturing value chain to optimize processes.

  • Honeywell

    Provides industrial automation and control systems, software, and services that leverage data analytics and AI to enhance operational performance, ensure safety, and improve efficiency in manufacturing environments.

  • Schneider Electric

    Specializes in industrial automation, energy management, and sustainability, offering EcoStruxure solutions that connect operational technology (OT) with information technology (IT) to collect and analyze data for smart manufacturing.

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