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Operation and preventive maintenance scheduling for containerships: Mathematical model and solution algorithm

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  • Go, Hun
  • Kim, Ji-Su
  • Lee, Dong-Ho

Abstract

This paper considers the problem of determining operation and maintenance schedules for a containership equipped with various subsystems during its sailing according to a pre-determined navigation schedule. The operation schedule, which specifies working time of each subsystem, determines the due-date of each maintenance activity and the maintenance schedule specifies the actual start time of each maintenance activity. The main constraints are subsystem requirements, workforce availability, working time limitation, and inter-maintenance time. To represent the problem mathematically, a mixed integer programming model is developed. Then, due to the complexity of the problem, we suggest a heuristic algorithm that minimizes the sum of earliness and tardiness between the due-date and the actual start time for each maintenance activity. Computational experiments were done on various test instances and the results are reported. In particular, a case study was done on a real instance and a significant amount of improvement is reported over the experience based conventional method.

Suggested Citation

  • Go, Hun & Kim, Ji-Su & Lee, Dong-Ho, 2013. "Operation and preventive maintenance scheduling for containerships: Mathematical model and solution algorithm," European Journal of Operational Research, Elsevier, vol. 229(3), pages 626-636.
  • Handle: RePEc:eee:ejores:v:229:y:2013:i:3:p:626-636
    DOI: 10.1016/j.ejor.2013.04.005
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    References listed on IDEAS

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    Cited by:

    1. Deng, Qichen & Santos, Bruno F. & Curran, Richard, 2020. "A practical dynamic programming based methodology for aircraft maintenance check scheduling optimization," European Journal of Operational Research, Elsevier, vol. 281(2), pages 256-273.
    2. 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.
    3. Khaled Alhamad & Yousuf Alkhezi, 2024. "Hybrid Genetic Algorithm and Tabu Search for Solving Preventive Maintenance Scheduling Problem for Cogeneration Plants," Mathematics, MDPI, vol. 12(12), pages 1-26, June.
    4. Lin, Boliang & Zhao, Yinan, 2021. "Synchronized optimization of EMU train assignment and second-level preventive maintenance scheduling," Reliability Engineering and System Safety, Elsevier, vol. 215(C).

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