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Single machine total completion time scheduling problem with workload-dependent maintenance duration

Author

Listed:
  • Xu, Dehua
  • Wan, Long
  • Liu, Aihua
  • Yang, Dar-Li

Abstract

A single-machine scheduling problem with workload-dependent maintenance duration is considered. The objective is to minimize total completion time. For the case where the derivation of the maintenance duration function is greater than or equal to 1, a polynomial time optimal algorithm is proposed. For the case where the derivation of the maintenance duration function is less than 1, a polynomial time approximation scheme is proposed.

Suggested Citation

  • Xu, Dehua & Wan, Long & Liu, Aihua & Yang, Dar-Li, 2015. "Single machine total completion time scheduling problem with workload-dependent maintenance duration," Omega, Elsevier, vol. 52(C), pages 101-106.
    • Handle: RePEc:eee:jomega:v:52:y:2015:i:c:p:101-106
    DOI: 10.1016/j.omega.2014.11.002
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    References listed on IDEAS

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    1. Rustogi, Kabir & Strusevich, Vitaly A., 2012. "Single machine scheduling with general positional deterioration and rate-modifying maintenance," Omega, Elsevier, vol. 40(6), pages 791-804.
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    6. Suh-Jenq Yang & Dar-Li Yang, 2012. "Single-Machine Scheduling Problems Simultaneous with Deteriorating and Learning Effects Under a Deteriorating Maintenance Consideration," Springer Optimization and Its Applications, in: Roger Z. Ríos-Mercado & Yasmín A. Ríos-Solís (ed.), Just-in-Time Systems, chapter 0, pages 41-65, Springer.
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    11. Mor, Baruch & Mosheiov, Gur, 2012. "Scheduling a maintenance activity and due-window assignment based on common flow allowance," International Journal of Production Economics, Elsevier, vol. 135(1), pages 222-230.
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    Cited by:

    1. Wang, Dujuan & Yin, Yunqiang & Cheng, T.C.E., 2018. "Parallel-machine rescheduling with job unavailability and rejection," Omega, Elsevier, vol. 81(C), pages 246-260.
    2. Yin, Yunqiang & Wang, Yan & Cheng, T.C.E. & Liu, Wenqi & Li, Jinhai, 2017. "Parallel-machine scheduling of deteriorating jobs with potential machine disruptions," Omega, Elsevier, vol. 69(C), pages 17-28.
    3. Finke, Gerd & Gara-Ali, Ahmed & Espinouse, Marie-Laure & Jost, Vincent & Moncel, Julien, 2017. "Unified matrix approach to solve production-maintenance problems on a single machine," Omega, Elsevier, vol. 66(PA), pages 140-146.
    4. Zhijun Xu & Dehua Xu, 2018. "Single-machine scheduling with workload-dependent tool change durations and equal processing time jobs to minimize total completion time," Journal of Scheduling, Springer, vol. 21(4), pages 461-482, August.
    5. Mohammad Rahmanidoust & Jianguo Zheng, 2017. "A Bi-objective Simulation-optimization Approach for Solving a No-wait two Stages Flexible Flow Shop Scheduling Problem with Rework Ability," International Business Research, Canadian Center of Science and Education, vol. 10(12), pages 197-221, December.
    6. Wu, Xueqi & Che, Ada, 2019. "A memetic differential evolution algorithm for energy-efficient parallel machine scheduling," Omega, Elsevier, vol. 82(C), pages 155-165.
    7. Javad Seif & Mohammad Dehghanimohammadabadi & Andrew Junfang Yu, 2020. "Integrated preventive maintenance and flow shop scheduling under uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 32(4), pages 852-887, December.
    8. Li, Guo & Liu, Mengqi & Sethi, Suresh P. & Xu, Dehua, 2017. "Parallel-machine scheduling with machine-dependent maintenance periodic recycles," International Journal of Production Economics, Elsevier, vol. 186(C), pages 1-7.
    9. Luo, Wenchang & Liu, Feng, 2017. "On single-machine scheduling with workload-dependent maintenance duration," Omega, Elsevier, vol. 68(C), pages 119-122.

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