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Delayed maintenance policy optimisation based on control chart

Author

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  • Guojun Zhang
  • Yuhao Deng
  • Haiping Zhu
  • Hui Yin

Abstract

Data sharing between statistic process control (SPC) and condition-based maintenance is valuable and the joint optimisation has been studied, mostly focusing on the SPC control chart limits. Traditionally, maintenance is taken as a response to the control chart alarms, as soon as the alarm is released. This may not be a good decision due to the existence of false alarms and the loss of production interruptions. So this paper proposed a delayed maintenance policy. This policy allows a delay time for the detection and maintenance after an alarm. The operational state probabilities during the delayed period are estimated by Bayesian theory, and a Markov model is built for the monitoring–maintenance process. The model is validated by a Tecnomatix-based simulation, and then used to optimise the average delay time as well as the sampling parameters. Numerical results show that the improvements do exist in some cases, but it depends on the production conditions. Suggestions about when to perform delayed maintenance are also given through factorial analysis.

Suggested Citation

  • Guojun Zhang & Yuhao Deng & Haiping Zhu & Hui Yin, 2015. "Delayed maintenance policy optimisation based on control chart," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 341-353, January.
    • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:2:p:341-353
    DOI: 10.1080/00207543.2014.923948
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    Cited by:

    1. Wenzhuo Wang & Yu Zhao & Yihai He & Xiuzhen Yang & Jishan Zhang, 2024. "Functional healthy state evaluation approach based on phased state task network for intelligent multistation manufacturing systems," Journal of Risk and Reliability, , vol. 238(1), pages 216-229, February.
    2. Kampitsis, Dimitris & Panagiotidou, Sofia, 2022. "A Bayesian condition-based maintenance and monitoring policy with variable sampling intervals," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    3. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system," International Journal of Production Economics, Elsevier, vol. 173(C), pages 184-198.
    4. Wang, Wenzhuo & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Zheng, Xin & Zhao, Yu, 2022. "Mission reliability driven functional healthy state modeling approach considering production rhythm and workpiece quality for manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    5. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Integrated production, sampling quality control and maintenance of deteriorating production systems with AOQL constraint," Omega, Elsevier, vol. 61(C), pages 110-126.

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