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A reliability-based approach to optimize preventive maintenance scheduling for coherent systems

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  • Doostparast, Mohammad
  • Kolahan, Farhad
  • Doostparast, Mahdi

Abstract

In this paper, the problem of reliability-based periodic preventive maintenance (PM) planning for systems with deteriorating components has been considered. The objective is to maintain a certain level of reliability with minimal total maintenance related cost. In the proposed approach, the planning horizon is divided into pre-specified inspection periods. For any given interval, a decision must be made to perform one of the three actions on each component (simple service, preventive repair and preventive replacement). Any of these activities has a distinct effect on the reliability of the components and the corresponding cost based on the required resources. The cost function includes repair cost, replacement cost, system downtime cost and random failure cost. It is assumed that the random failures follow a Non-Homogeneous Poisson Process. Minimum system reliability and PM resources are the main constraints considered. Since the problem under study is combinatorial in nature involving several non-linear decision variables, a simulated annealing algorithm is employed to provide good solutions within reasonable search time. Some illustrative examples have been solved to assess the performance of the proposed approach.

Suggested Citation

  • Doostparast, Mohammad & Kolahan, Farhad & Doostparast, Mahdi, 2014. "A reliability-based approach to optimize preventive maintenance scheduling for coherent systems," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 98-106.
    • Handle: RePEc:eee:reensy:v:126:y:2014:i:c:p:98-106
    DOI: 10.1016/j.ress.2014.01.010
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    Cited by:

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    7. Lin, Zu-Liang & Huang, Yeu-Shiang & Fang, Chih-Chiang, 2015. "Non-periodic preventive maintenance with reliability thresholds for complex repairable systems," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 145-156.
    8. Evrencan Özcan & Rabia Yumuşak & Tamer Eren, 2019. "Risk Based Maintenance in the Hydroelectric Power Plants," Energies, MDPI, vol. 12(8), pages 1-22, April.
    9. Zhang, Yongjin & Zhao, Ming & Zhang, Shitao & Wang, Jiamei & Zhang, Yanjun, 2017. "An integrated approach to estimate storage reliability with initial failures based on E-Bayesian estimates," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 24-36.
    10. Yihai He & Changchao Gu & Zhaoxiang Chen & Xiao Han, 2017. "Integrated predictive maintenance strategy for manufacturing systems by combining quality control and mission reliability analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5841-5862, October.
    11. Parsa, Motahareh & Di Crescenzo, Antonio & Jabbari, Hadi, 2018. "Analysis of reliability systems via Gini-type index," European Journal of Operational Research, Elsevier, vol. 264(1), pages 340-353.
    12. Chaoqun Duan & Chao Deng & Bingran Wang, 2019. "Multi-phase sequential preventive maintenance scheduling for deteriorating repairable systems," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1779-1793, April.
    13. Faddoul, R. & Raphael, W. & Chateauneuf, A., 2018. "Maintenance optimization of series systems subject to reliability constraints," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 179-188.
    14. Zarezadeh, Somayeh & Ashrafi, Somayeh, 2019. "On preventive maintenance of networks with components subject to external shocks," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    15. Khaled Alhamad & Yousuf Alkhezi & M. F. Alhajri, 2022. "Nonlinear Integer Programming for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants with Production," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    16. Juhyun Lee & Byunghoon Kim & Suneung Ahn, 2019. "Maintenance Optimization for Repairable Deteriorating Systems under Imperfect Preventive Maintenance," Mathematics, MDPI, vol. 7(8), pages 1-17, August.
    17. Slimacek, Vaclav & Lindqvist, Bo Henry, 2016. "Nonhomogeneous Poisson process with nonparametric frailty," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 14-23.
    18. Zhou, Yifan & Lin, Tian Ran & Sun, Yong & Bian, Yangqing & Ma, Lin, 2015. "An effective approach to reducing strategy space for maintenance optimisation of multistate series–parallel systems," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 40-53.
    19. Anil Kr. Aggarwal & Vikram Singh & Sanjeev Kumar, 2017. "Availability analysis and performance optimization of a butter oil production system: a case study," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 538-554, January.
    20. Petchrompo, Sanyapong & Li, Hao & Erguido, Asier & Riches, Chris & Parlikad, Ajith Kumar, 2020. "A value-based approach to optimizing long-term maintenance plans for a multi-asset k-out-of-N system," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    21. Moath Alrifaey & Tang Sai Hong & Eris Elianddy Supeni & Azizan As’arry & Chun Kit Ang, 2019. "Identification and Prioritization of Risk Factors in an Electrical Generator Based on the Hybrid FMEA Framework," Energies, MDPI, vol. 12(4), pages 1-22, February.
    22. Sheu, Shey-Huei & Tsai, Hsin-Nan & Sheu, Uan-Yu & Zhang, Zhe George, 2019. "Optimal replacement policies for a system based on a one-cycle criterion," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    23. Anil Kr. Aggarwal & Sanjeev Kumar & Vikram Singh, 2017. "Mathematical modeling and reliability analysis of the serial processes in feeding system of a sugar plant," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 435-450, January.

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