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Modeling the Parallel Machine Scheduling Problem with Step Deteriorating Jobs

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  • Lalla-Ruiz, Eduardo
  • Voß, Stefan

Abstract

This paper addresses the Parallel Machine Scheduling Problem with Step Deteriorating Jobs. This problem arises from real environments in which processing a job later than at a specific time may require an extra processing time. This time-dependent variation is known in the literature as step deterioration and has several practical applications (production planning, computer programming, medicine treatment, equipment maintenance, etc.). In the problem tackled in this work we aim to minimize the total completion time on identical parallel machines where each job has a deteriorating date and observes a step function for the processing time. For solving it, we propose two novel mathematical models based on the Set Partitioning Problem (SPP) that improve the unique model proposed in the literature. The computational performance of these models implemented in a general purpose solver allows to compete with the best algorithms proposed in the literature. Finally, we provide some insights for managing similar SPP formulations when large-sized instances have to be addressed.

Suggested Citation

  • Lalla-Ruiz, Eduardo & Voß, Stefan, 2016. "Modeling the Parallel Machine Scheduling Problem with Step Deteriorating Jobs," European Journal of Operational Research, Elsevier, vol. 255(1), pages 21-33.
    • Handle: RePEc:eee:ejores:v:255:y:2016:i:1:p:21-33
    DOI: 10.1016/j.ejor.2016.04.010
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    References listed on IDEAS

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    1. C-C He & C-C Wu & W-C Lee, 2009. "Branch-and-bound and weight-combination search algorithms for the total completion time problem with step-deteriorating jobs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1759-1766, December.
    2. Cheng, T. C. E. & Ding, Q. & Lin, B. M. T., 2004. "A concise survey of scheduling with time-dependent processing times," European Journal of Operational Research, Elsevier, vol. 152(1), pages 1-13, January.
    3. Sundararaghavan, P. S. & Kunnathur, A. S., 1994. "Single machine scheduling with start time dependent processing times: Some solvable cases," European Journal of Operational Research, Elsevier, vol. 78(3), pages 394-403, November.
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    6. Leung, Joseph Y.-T. & Ng, C.T. & Cheng, T.C. Edwin, 2008. "Minimizing sum of completion times for batch scheduling of jobs with deteriorating processing times," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1090-1099, June.
    7. A A K Jeng & B M T Lin, 2004. "Makespan minimization in single-machine scheduling with step-deterioration of processing times," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(3), pages 247-256, March.
    8. Cheng, T. C. E. & Sin, C. C. S., 1990. "A state-of-the-art review of parallel-machine scheduling research," European Journal of Operational Research, Elsevier, vol. 47(3), pages 271-292, August.
    9. Blazewicz, Jacek & Dror, Moshe & Weglarz, Jan, 1991. "Mathematical programming formulations for machine scheduling: A survey," European Journal of Operational Research, Elsevier, vol. 51(3), pages 283-300, April.
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    Cited by:

    1. Baruch Mor, 2023. "Single machine scheduling problems involving job-dependent step-deterioration dates and job rejection," Operational Research, Springer, vol. 23(1), pages 1-19, March.
    2. Chen, Qianqian & Lin, Ling & Tan, Zhiyi & Yan, Yujie, 2017. "Coordination mechanisms for scheduling games with proportional deterioration," European Journal of Operational Research, Elsevier, vol. 263(2), pages 380-389.
    3. Delorme, Maxence & Iori, Manuel & Mendes, Nilson F.M., 2021. "Solution methods for scheduling problems with sequence-dependent deterioration and maintenance events," European Journal of Operational Research, Elsevier, vol. 295(3), pages 823-837.

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