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Integrated production, maintenance and quality control policy for unreliable manufacturing systems under dynamic inspection
International Journal of Production Economics ( IF 12.0 ) Pub Date : 2021-04-23 , DOI: 10.1016/j.ijpe.2021.108140
Abdessamad Ait-El-Cadi , Ali Gharbi , Karem Dhouib , Abdelhakim Artiba

This paper proposes a new joint production, maintenance, and dynamic sampling inspection control policy, for failure-prone manufacturing systems. The integrated policy help decision-makers to find both production rate and maintenance frequency, as well as the size of the sample to be inspected. The inspection policy is based on a dynamic sampling plan, which adapts the sample size according to the system degradation and takes into account the interactions between production, maintenance, and quality control. To optimize jointly the integrated policy's control settings, a comprehensive and thorough mathematical model is developed to capture the complex dynamic and stochastic behavior of the manufacturing system. The proposed model relaxes several simplifying assumptions so that reliability and quality degradations are operation-dependent, duration and cost of inspection are non-negligible, no restriction on random distributions and failures occur at any time, as in the real manufacturing world. Besides, a new signal-based simulation model is developed and a detailed sensitivity analysis is carried out to validate analytical results. The results show the relevance of the analytical approach and help us to prove the importance of adapting the inspection effort to the inner quality in the production. An extended comparative study is provided and shows that the proposed integrated policy, based on dynamic inspection, outperforms those based on classical inspection strategies considered in the literature and practice.



中文翻译:

动态检查下不可靠制造系统的集成生产,维护和质量控制策略

本文针对容易发生故障的制造系统,提出了一种新的联合生产,维护和动态抽样检查控制策略。集成的政策可帮助决策者找到生产率和维护频率,以及要检查的样本的大小。检验策略基于动态抽样计划,该计划根据系统退化情况调整样本大小,并考虑到生产,维护和质量控制之间的相互作用。为了共同优化集成策略的控制设置,开发了一个全面而全面的数学模型来捕获制造系统的复杂动态和随机行为。提出的模型放宽了一些简化的假设,因此可靠性和质量下降取决于操作,检验的持续时间和成本不可忽略,就像在现实世界中一样,在任何时候都不会对随机分布和故障造成任何限制。此外,开发了基于信号的新仿真模型,并进行了详细的灵敏度分析以验证分析结果。结果表明了分析方法的相关性,并帮助我们证明了使检验工作适应生产中内部质量的重要性。提供了扩展的比较研究,结果表明,基于动态检查的拟议综合政策优于基于文献和实践中考虑的经典检查策略的综合政策。开发了基于信号的新仿真模型,并进行了详细的灵敏度分析以验证分析结果。结果表明了分析方法的相关性,并帮助我们证明了使检验工作适应生产中内部质量的重要性。提供了扩展的比较研究,结果表明,基于动态检查的拟议综合政策优于基于文献和实践中考虑的经典检查策略的综合政策。开发了基于信号的新仿真模型,并进行了详细的灵敏度分析以验证分析结果。结果表明了分析方法的相关性,并帮助我们证明了使检验工作适应生产中内部质量的重要性。提供了扩展的比较研究,结果表明,基于动态检查的拟议综合政策优于基于文献和实践中考虑的经典检查策略的综合政策。

更新日期:2021-04-30
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