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Industrial Internet of Things on integrated preventive maintenance and enterprise-resource-planning systems: A case study of fastener forming manufacturing processes
参考中译:基于集成预防性维护和企业资源规划系统的工业物联网--以紧固件成形制造过程为例


          

刊名：Proceedings of the Institution of Mechanical Engineers
作者：Chih-Wei Hsu（Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology）
Jui-Han Lu（Department of Telecommunication Engineering, National Kaohsiung University of Science and Technology）
To-Cheng Wang（Department of Aviation Management, Republic of China Air Force Academy）
Jui-Chan Huang（Yango University）
Ming-Hung Shu（Department of Industrial Engineering and Management, National Kaohsiung University of Science and Technology）
刊号：780C0002-B
ISSN：0954-4054
出版年：2023
年卷期：2023, vol.237, no.6/7
页码：1100-1114
总页数：15
分类号：TH16
关键词：Industrial internet of things；Fastener forming process；Classification algorithms；Preventive maintenance；Enterprise resource planning；Manufacturing execution system
参考中译：工业物联网；紧固件成型工艺；分类算法；预防性维护；企业资源计划；制造执行系统
语种：eng
文摘：The Industrial Internet of Things (IIoT) has evolved industrial operations to be more efficient and reliable. The fastener forming process (FFP) used to rely on the judgments of in-process inspectors and experienced operators. Since no critical information was transmitted between machines, the machining status during production was unable to reveal. Now, with sensors installed in the machines of FFP, manufacturing data can be collected, analyzed, and responded to the machines. This IIoT-embedded FFP can not only carry out real-time data, pre-processing, and feature engineering but also enable optimally selecting classification algorithms for preventive maintenance. Consequently, the FFP establishes machine-health indicators for the production site and the heading process recognizes the abnormal situations between punches. The operator-delayed response leads to a great amount of loss that can be avoided. Besides, with the integration of enterprise resource planning (ERP) and manufacturing execution system (MES), this IIoT-embedded FFP converts receiving customer orders into work orders and coordinates operations and sales within enterprises. This system integration catches the status of various production indicators and further advances accurate materials preparation and inventory costs control. Overall, this IIoT-embedded FFP system becomes no necessity for increasing inventory and reserving backlog funds to cope with the impact of a vast number of scrap products. Finally, other types of machining processes or systems can adopt this systematic approach in the future.
参考中译：工业物联网(IIoT)使工业运营变得更加高效和可靠。紧固件成型工艺(FFP)过去依赖于过程中检查员和有经验的操作员的判断。由于机器之间没有传输关键信息，生产过程中的加工状态无法透露。现在，通过在FFP的机器上安装传感器，可以收集、分析和响应机器的制造数据。这种嵌入IIoT的FFP不仅可以进行实时数据、预处理和特征工程，而且可以为预防性维护选择最佳的分类算法。因此，FFP为生产现场建立机器健康指示器，并且掘进过程识别冲头之间的异常情况。操作员延迟响应会导致大量损失，而这些损失是可以避免的。此外，通过集成企业资源计划(ERP)和制造执行系统(MES)，这个嵌入IIoT的FFP将接收客户订单转换为工单，协调企业内部的运营和销售。通过系统集成，及时掌握各项生产指标的运行状态，进一步推进精准备料和库存成本控制。总体而言，这个嵌入IIoT的FFP系统不再需要增加库存和预留积压资金来应对大量报废产品的影响。最后，其他类型的加工工艺或系统可以在未来采用这种系统化的方法。



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