Agile Factor Flexible Industry 4.0 with MES Manufacturing Execution System Along with ERP Back-End Integration: Ready-Made Garments as a Case Study  

Agile Factor Flexible Industry 4.0 with MES Manufacturing Execution System Along with ERP Back-End Integration: Ready-Made Garments as a Case Study

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作  者:Mohamed Mostafa Mohamed Abdulaziz Saleh Alraddadi Mohamed Mostafa Mohamed;Abdulaziz Saleh Alraddadi(AppSoft Co., Alexandria, Egypt;Department of Networks and Information System, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia)

机构地区:[1]AppSoft Co., Alexandria, Egypt [2]Department of Networks and Information System, College of Computer Science and Engineering, Taibah University, Yanbu, Saudi Arabia

出  处:《American Journal of Operations Research》2024年第4期137-150,共14页美国运筹学期刊(英文)

摘  要:Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, machine learning and AI techniques, Manufacturing Execution Systems (MES), and big data analytics to create a new, fully digitized manufacturing system. The Critical Success Factors (CSFs) of MES adoption are both a quantitative and qualitative measurement. We use the case of ready-made garments to improve each of the three Overall Equipment Efficiency (OEE) factors: Availability, Performance, and Quality. In this study, we adopt real-time management of production activities on the shop floor from order receipt to finished products, then measure the improvement.Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, machine learning and AI techniques, Manufacturing Execution Systems (MES), and big data analytics to create a new, fully digitized manufacturing system. The Critical Success Factors (CSFs) of MES adoption are both a quantitative and qualitative measurement. We use the case of ready-made garments to improve each of the three Overall Equipment Efficiency (OEE) factors: Availability, Performance, and Quality. In this study, we adopt real-time management of production activities on the shop floor from order receipt to finished products, then measure the improvement.

关 键 词:Industry 4.0 ERP MES IOT 

分 类 号:F42[经济管理—产业经济]

 

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