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Integrated production, maintenance and quality control policy for unreliable manufacturing systems under dynamic inspection

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  • Ait-El-Cadi, Abdessamad
  • Gharbi, Ali
  • Dhouib, Karem
  • Artiba, Abdelhakim

Abstract

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.

Suggested Citation

  • Ait-El-Cadi, Abdessamad & Gharbi, Ali & Dhouib, Karem & Artiba, Abdelhakim, 2021. "Integrated production, maintenance and quality control policy for unreliable manufacturing systems under dynamic inspection," International Journal of Production Economics, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:proeco:v:236:y:2021:i:c:s092552732100116x
    DOI: 10.1016/j.ijpe.2021.108140
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    References listed on IDEAS

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    Cited by:

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    4. Przemysław Drożyner & Stanisław Młynarski, 2022. "The Theory of Exploitation as a Support for Management Accounting in an Enterprise," Sustainability, MDPI, vol. 14(21), pages 1-14, November.
    5. Ye, Zhenggeng & Cai, Zhiqiang & Yang, Hui & Si, Shubin & Zhou, Fuli, 2023. "Joint optimization of maintenance and quality inspection for manufacturing networks based on deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    6. Leoni, Leonardo & De Carlo, Filippo & Tucci, Mario, 2023. "Developing a framework for generating production-dependent failure rate through discrete-event simulation," International Journal of Production Economics, Elsevier, vol. 266(C).
    7. Delpla, Victor & Kenné, Jean-Pierre & Hof, Lucas A., 2023. "Integration of operational lockout/tagout in a joint production and maintenance policy of a smart production system," International Journal of Production Economics, Elsevier, vol. 263(C).
    8. Jingyi Zhao & Chunhai Gao & Tao Tang, 2022. "A Review of Sustainable Maintenance Strategies for Single Component and Multicomponent Equipment," Sustainability, MDPI, vol. 14(5), pages 1-22, March.

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