A Review on the Advanced Maintenance Approach for Achieving the Zero-Defect Manufacturing System

H. Jun
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引用次数: 1

Abstract

Recently, a revolutionary change is taking place in manufacturing and production systems thanks to the development of various advanced technologies such as IIoT (Industrial Internet of Things), CPPS (Cyber-Physical Production System), digital twins, big data analytics, AI (Artificial Intelligence), and so on. One of the change is that manufacturing and production systems are now trying to transform into the ZDM (Zero-Defect Manufacturing) system. For a manufacturing company, quality takes precedence over any other competitive factors, so the implementation of a ZDM system is very important. For the implementation of ZDM, many fundamental technologies are required. Among them, the advanced maintenance approach for the facilities/equipment of the manufacturing and production system is much more important because it could support the zero-defect and high-efficiency operation of manufacturing and production systems. The advanced maintenance approach, which is often called by various terms such as predictive maintenance, condition-based maintenance plus (CBM+), and PHM (Prognostics and Health Management), requires various interdisciplinary knowledge and systematic integration. In this study, we will review previous works mainly focusing on advanced maintenance subject among ZDM research works, and briefly discuss the challenging issues for applying PHM technologies to the ZDM.
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实现零缺陷制造系统的先进维修方法综述
近年来,由于工业物联网(IIoT)、网络物理生产系统(CPPS)、数字孪生、大数据分析、人工智能(AI)等各种先进技术的发展,制造和生产系统正在发生革命性的变化。其中一个变化是制造和生产系统现在正试图转变为ZDM(零缺陷制造)系统。对于制造企业来说,质量比任何其他竞争因素都重要,因此实施ZDM系统是非常重要的。为了实现ZDM,需要许多基础技术。其中,对制造和生产系统的设施/设备进行先进的维护方法更为重要,因为它可以支持制造和生产系统的零缺陷和高效运行。高级维护方法通常被称为预测性维护、基于状态的维护+ (CBM+)和PHM(预后和健康管理)等各种术语,它需要各种跨学科知识和系统集成。在本文中,我们将回顾以往的研究工作,主要集中在ZDM研究中的高级维护课题,并简要讨论PHM技术应用于ZDM的挑战问题。
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