Procedia CIRP · 2018 · 18 citations · 13 references
EngineeringSupply Chain ManagementSystems EngineeringManufacturing SystemsProcess ControlProcess Systems EngineeringIndustrial AutomationManufacturing AutomationManufacturing Execution SystemsProcess AutomationProcess EngineeringProcess IntegrationAgilityConceptual Model DevelopmentIndustrial Automation SystemsIntelligent Manufacturing SystemsLogisticsManufacturing Execution Systems IntegrationProcess Data AcquisitionSupply Chain Automation
Current Manufacturing Execution Systems (MES) are not supporting a full integration into overall processes across the supply chain. Thus, optimization is limited to single areas. The SemI40 project is aimed at developing an integrated concept of Smart Process Control System (SPCS), which enhances the overall agility and productivity. The system, therefore, autonomously acquires and interprets process data to allow product individual optimization and enhancing logistics management. It also provides full traceability across the supply chain in real-time and allows model based process simulation and decision making support. The concept is developed based on requirements elicitation in cooperation with industry partners and combines state-of-the-art technologies with current trends, like vertical integration, big data and machine learning.
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Benjamin Haefner, Alexandra Kraemer, Torsten Stauss et al. · Procedia CIRP · 2014 · 82 citations · Full text
Engineering, Industrial Engineering, Manufacturing Engineering +17