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Condition-based release of maintenance jobs in a decentralised production-maintenance system – An analysis of alternative stochastic approaches

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  • Gössinger, Ralf
  • Helmke, Hanna
  • Kaluzny, Michael

Abstract

A condition-based release of preventive maintenance jobs is analysed for a single-stage production/maintenance system where maintenance is performed by a separate unit. It is assumed, that the conditions of the machine deteriorate as a function of multiple production parameters. The task of maintenance is to keep up a predefined operational reliability. In this context the problem of determining the optimal machine condition that triggers the release of a preventive maintenance job arises. Existing approaches to solve this problem either assume a monolithic production/maintenance system or focus on a decentralised system in which information flow and resource transfer do not cause delays. In our paper we derive a triggering mechanism that is not based on these assumptions. It is built on a specific continuous condition monitoring and a suitable information exchange. On this basis the factors determining the delay between the release and completion of a maintenance job are operationalised and alternative stochastic approaches to calculate the triggering condition are formulated. Finally, based on simulations the performance of the approaches is analysed. Thereby, relevant characteristics of the production/maintenance system and the maintenance task are varied systematically. This research contributes answers to the questions on how the exchange of local information can be structured, and the parameters of condition-based maintenance can be calculated and set in case of incomplete information about deterioration in a decentralised production/maintenance system.

Suggested Citation

  • Gössinger, Ralf & Helmke, Hanna & Kaluzny, Michael, 2017. "Condition-based release of maintenance jobs in a decentralised production-maintenance system – An analysis of alternative stochastic approaches," International Journal of Production Economics, Elsevier, vol. 193(C), pages 528-537.
    • Handle: RePEc:eee:proeco:v:193:y:2017:i:c:p:528-537
    DOI: 10.1016/j.ijpe.2017.08.009
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    References listed on IDEAS

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    1. W Wang & A H Christer, 2000. "Towards a general condition based maintenance model for a stochastic dynamic system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(2), pages 145-155, February.
    2. Fitouhi, Mohamed-Chahir & Nourelfath, Mustapha, 2014. "Integrating noncyclical preventive maintenance scheduling and production planning for multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 175-186.
    3. Liu, Xuejuan & Wang, Wenbin & Peng, Rui, 2015. "An integrated production, inventory and preventive maintenance model for a multi-product production system," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 76-86.
    4. Charlot, E. & Kenne, J.P. & Nadeau, S., 2007. "Optimal production, maintenance and lockout/tagout control policies in manufacturing systems," International Journal of Production Economics, Elsevier, vol. 107(2), pages 435-450, June.
    5. Xiang Wu & Sarah Ryan, 2010. "Value of condition monitoring for optimal replacement in the proportional hazards model with continuous degradation," IISE Transactions, Taylor & Francis Journals, vol. 42(8), pages 553-563.
    6. Gharbi, A. & Kenne, J.-P. & Beit, M., 2007. "Optimal safety stocks and preventive maintenance periods in unreliable manufacturing systems," International Journal of Production Economics, Elsevier, vol. 107(2), pages 422-434, June.
    7. Si, Xiao-Sheng & Wang, Wenbin & Hu, Chang-Hua & Zhou, Dong-Hua, 2011. "Remaining useful life estimation - A review on the statistical data driven approaches," European Journal of Operational Research, Elsevier, vol. 213(1), pages 1-14, August.
    8. Berthaut, F. & Gharbi, A. & Kenné, J.-P. & Boulet, J.-F., 2010. "Improved joint preventive maintenance and hedging point policy," International Journal of Production Economics, Elsevier, vol. 127(1), pages 60-72, September.
    9. Gharbi, A. & Kenne, J. P., 2000. "Production and preventive maintenance rates control for a manufacturing system: An experimental design approach," International Journal of Production Economics, Elsevier, vol. 65(3), pages 275-287, May.
    10. You, Ming-Yi & Li, Hongguang & Meng, Guang, 2011. "Control-limit preventive maintenance policies for components subject to imperfect preventive maintenance and variable operational conditions," Reliability Engineering and System Safety, Elsevier, vol. 96(5), pages 590-598.
    11. Gara-Ali, Ahmed & Finke, Gerd & Espinouse, Marie-Laure, 2016. "Parallel-machine scheduling with maintenance: Praising the assignment problem," European Journal of Operational Research, Elsevier, vol. 252(1), pages 90-97.
    12. 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.
    13. Jiang, R., 2013. "A multivariate CBM model with a random and time-dependent failure threshold," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 178-185.
    14. Aghezzaf, El-Houssaine & Khatab, Abdelhakim & Tam, Phuoc Le, 2016. "Optimizing production and imperfect preventive maintenance planning׳s integration in failure-prone manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 190-198.
    15. Dehayem Nodem, F.I. & Kenne, J.P. & Gharbi, A., 2009. "Hierarchical decision making in production and repair/replacement planning with imperfect repairs under uncertainties," European Journal of Operational Research, Elsevier, vol. 198(1), pages 173-189, October.
    16. Peng, Hao & van Houtum, Geert-Jan, 2016. "Joint optimization of condition-based maintenance and production lot-sizing," European Journal of Operational Research, Elsevier, vol. 253(1), pages 94-107.
    17. Dehayem Nodem, F.I. & Kenné, J.P. & Gharbi, A., 2011. "Simultaneous control of production, repair/replacement and preventive maintenance of deteriorating manufacturing systems," International Journal of Production Economics, Elsevier, vol. 134(1), pages 271-282, November.
    18. A. Charnes & W. W. Cooper, 1959. "Chance-Constrained Programming," Management Science, INFORMS, vol. 6(1), pages 73-79, October.
    19. Jiang, R., 2010. "Optimization of alarm threshold and sequential inspection scheme," Reliability Engineering and System Safety, Elsevier, vol. 95(3), pages 208-215.
    20. Mostafa Khatami & Seyed Hessameddin Zegordi, 2017. "Coordinative production and maintenance scheduling problem with flexible maintenance time intervals," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 857-867, April.
    21. Liu, Bin & Xu, Zhengguo & Xie, Min & Kuo, Way, 2014. "A value-based preventive maintenance policy for multi-component system with continuously degrading components," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 83-89.
    22. Zhao, Xufeng & Al-Khalifa, Khalifa N. & Magid Hamouda, Abdel & Nakagawa, Toshio, 2017. "Age replacement models: A summary with new perspectives and methods," Reliability Engineering and System Safety, Elsevier, vol. 161(C), pages 95-105.
    23. Xiang Wu & Kanjian Zhang & Ming Cheng, 2017. "Computational method for optimal machine scheduling problem with maintenance and production," International Journal of Production Research, Taylor & Francis Journals, vol. 55(6), pages 1791-1814, March.
    24. Olde Keizer, Minou C.A. & Flapper, Simme Douwe P. & Teunter, Ruud H., 2017. "Condition-based maintenance policies for systems with multiple dependent components: A review," European Journal of Operational Research, Elsevier, vol. 261(2), pages 405-420.
    25. Kazaz, Burak & Sloan, Thomas W., 2013. "The impact of process deterioration on production and maintenance policies," European Journal of Operational Research, Elsevier, vol. 227(1), pages 88-100.
    26. Nourelfath, Mustapha & Nahas, Nabil & Ben-Daya, Mohamed, 2016. "Integrated preventive maintenance and production decisions for imperfect processes," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 21-31.
    27. Tian, Zhigang & Liao, Haitao, 2011. "Condition based maintenance optimization for multi-component systems using proportional hazards model," Reliability Engineering and System Safety, Elsevier, vol. 96(5), pages 581-589.
    28. Feichtinger, Gustav, 1982. "The Nash solution of a maintenance-production differential game," European Journal of Operational Research, Elsevier, vol. 10(2), pages 165-172, June.
    29. 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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