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Optimal integrated process control and maintenance under general deterioration

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  • Panagiotidou, S.
  • Tagaras, G.

Abstract

We develop an integrated Statistical Process Control (SPC) and preventive maintenance (PM) model for three-state processes (two operational states and a non-operational failure state) taking into account the interrelation between quality degradation and proneness to complete failure. No restriction is placed on the distributions of the times to quality shifts and failures and different types of inspection policies and tools are allowed signifying a wide practical applicability of the model. The proposed scheme leads to significant economic improvement compared to: (a) independently obtained SPC and PM policies, which treat quality shifts and failures in isolation, and (b) approximate models, which assume Markovian deterioration.

Suggested Citation

  • Panagiotidou, S. & Tagaras, G., 2012. "Optimal integrated process control and maintenance under general deterioration," Reliability Engineering and System Safety, Elsevier, vol. 104(C), pages 58-70.
    • Handle: RePEc:eee:reensy:v:104:y:2012:i:c:p:58-70
    DOI: 10.1016/j.ress.2012.03.019
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    References listed on IDEAS

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    Cited by:

    1. Mancuso, A. & Compare, M. & Salo, A. & Zio, E., 2021. "Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    2. Xanthopoulos, A.S. & Koulouriotis, D.E. & Botsaris, P.N., 2015. "Single-stage Kanban system with deterioration failures and condition-based preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 111-122.
    3. Yin, Hui & Zhang, Guojun & Zhu, Haiping & Deng, Yuhao & He, Fei, 2015. "An integrated model of statistical process control and maintenance based on the delayed monitoring," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 323-333.
    4. Liping Liu & Lining Jiang & Ding Zhang, 2017. "An integrated model of statistical process control and condition-based maintenance for deteriorating systems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1452-1460, November.
    5. Lu, Biao & Zhou, Xiaojun, 2017. "Opportunistic preventive maintenance scheduling for serial-parallel multistage manufacturing systems with multiple streams of deterioration," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 116-127.
    6. Boumallessa, Zeineb & Chouikhi, Houssam & Elleuch, Mounir & Bentaher, Hatem, 2023. "Modeling and optimizing the maintenance schedule using dynamic quality and machine condition monitors in an unreliable single production system," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    7. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    8. Rasay, Hasan & Taghipour, Sharareh & Sharifi, Mani, 2022. "An integrated Maintenance and Statistical Process Control Model for a Deteriorating Production Process," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

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