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Multi-objective preventive maintenance and replacement scheduling in a manufacturing system using goal programming

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  • Moghaddam, Kamran S.

Abstract

This research presents a new multi-objective nonlinear mixed-integer optimization model to determine Pareto-optimal preventive maintenance and replacement schedules for a repairable multi-workstation manufacturing system with increasing rate of occurrence of failure. The operational planning horizon is segmented into discrete and equally-sized periods and in each period three possible maintenance actions (repair, replacement, or do nothing) have been considered for each workstation. The optimal maintenance decisions for each workstation in each period are investigated such that the objectives and the requirements of the system can be achieved. Total operational costs, overall reliability and the system availability are incorporated as the objective functions and the multi-objective model is solved using a hybrid Monte Carlo simulation and goal programming procedure to obtain set of non-dominated schedules. The effectiveness and feasibility of the proposed solution methodology are demonstrated in a manufacturing setting and the computational performance of method in obtaining Pareto-optimal solutions is evaluated. Such a modeling approach and the proposed solution algorithm could be useful for maintenance planners and engineers tasked with the problem of developing optimal maintenance plans for complex productions systems.

Suggested Citation

  • Moghaddam, Kamran S., 2013. "Multi-objective preventive maintenance and replacement scheduling in a manufacturing system using goal programming," International Journal of Production Economics, Elsevier, vol. 146(2), pages 704-716.
    • Handle: RePEc:eee:proeco:v:146:y:2013:i:2:p:704-716
    DOI: 10.1016/j.ijpe.2013.08.027
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    References listed on IDEAS

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    1. Allaoui, H. & Lamouri, S. & Artiba, A. & Aghezzaf, E., 2008. "Simultaneously scheduling n jobs and the preventive maintenance on the two-machine flow shop to minimize the makespan," International Journal of Production Economics, Elsevier, vol. 112(1), pages 161-167, March.
    2. Chareonsuk, Chaichan & Nagarur, Nagen & Tabucanon, Mario T., 1997. "A multicriteria approach to the selection of preventive maintenance intervals," International Journal of Production Economics, Elsevier, vol. 49(1), pages 55-64, March.
    3. Banerjee, Avijit & Burton, Jonathan S., 1990. "Equipment utilization based maintenance task scheduling in a job shop," European Journal of Operational Research, Elsevier, vol. 45(2-3), pages 191-202, April.
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    Cited by:

    1. Scott, James & Ho, William & Dey, Prasanta K. & Talluri, Srinivas, 2015. "A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 226-237.
    2. Si, Guojin & Xia, Tangbin & Zhu, Ying & Du, Shichang & Xi, Lifeng, 2019. "Triple-level opportunistic maintenance policy for leasehold service network of multi-location production lines," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    3. W Zhu & M Fouladirad & C Bérenguer, 2015. "Bi-criteria maintenance policies for a system subject to competing wear and δ-shock failures," Journal of Risk and Reliability, , vol. 229(6), pages 485-500, December.
    4. Fatima Benbouzid-Si Tayeb & Karima Benatchba & Abd-Essalam Messiaid, 2018. "Game theory-based integration of scheduling with flexible and periodic maintenance planning in the permutation flowshop sequencing problem," Operational Research, Springer, vol. 18(1), pages 221-255, April.
    5. Xiao, Lei & Song, Sanling & Chen, Xiaohui & Coit, David W., 2016. "Joint optimization of production scheduling and machine group preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 146(C), pages 68-78.
    6. Liu, Yu & Zhang, Qin & Ouyang, Zhiyuan & Huang, Hong-Zhong, 2021. "Integrated production planning and preventive maintenance scheduling for synchronized parallel machines," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    7. Petchrompo, Sanyapong & Wannakrairot, Anupong & Parlikad, Ajith Kumar, 2022. "Pruning Pareto optimal solutions for multi-objective portfolio asset management," European Journal of Operational Research, Elsevier, vol. 297(1), pages 203-220.
    8. 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.
    9. Shekarian, Mansoor & Reza Nooraie, Seyed Vahid & Parast, Mahour Mellat, 2020. "An examination of the impact of flexibility and agility on mitigating supply chain disruptions," International Journal of Production Economics, Elsevier, vol. 220(C).

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