|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|83827||2018||6 صفحه PDF||سفارش دهید||3944 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Procedia CIRP, Volume 67, 2018, Pages 386-391
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.