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Parallel machine scheduling with common due windows

Author

Listed:
  • R-H Huang

    (Fu Jen Catholic University)

  • C-L Yang

    (Fu Jen Catholic University)

  • H-T Huang

    (Fu Jen Catholic University)

Abstract

With the prevalence of on-time scheduling, timely product submission has become a crucial contributor to customer satisfaction. Studies examining on-time scheduling primarily seek to determine the minimum weighted sum of earliness and tardiness penalties. This study assumes that all machines are identical. Furthermore, this study assumes that jobs are independent and share a common due date window when investigating scheduling problems involving parallel machines with a minimum total number of early and tardy jobs (or maximum number of on-time jobs). This study presents related theorems and a novel simplified algorithm based on the problem. Additionally, rule characteristics are examined, and simulated data are used to verify the effectiveness and timeliness of the proposed algorithm. The theoretical proof and data test results all indicate that the proposed approach obtains the best solution within the shortest time.

Suggested Citation

  • R-H Huang & C-L Yang & H-T Huang, 2010. "Parallel machine scheduling with common due windows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 640-646, April.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:4:d:10.1057_jors.2008.184
    DOI: 10.1057/jors.2008.184
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    References listed on IDEAS

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    1. Chen, Zhi-Long & Lee, Chung-Yee, 2002. "Parallel machine scheduling with a common due window," European Journal of Operational Research, Elsevier, vol. 136(3), pages 512-527, February.
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    5. J N D Gupta & A J Ruiz-torres & S Webster, 2003. "Minimizing maximum tardiness and number of tardy jobs on parallel machines subject to minimum flow-time," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(12), pages 1263-1274, December.
    6. W L Pearn & S H Chung & M H Yang & Y H Chen, 2004. "Algorithms for the wafer probing scheduling problem with sequence-dependent set-up time and due date restrictions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(11), pages 1194-1207, November.
    7. Brian Thomas Eck & Michael Pinedo, 1993. "On the Minimization of the Makespan Subject to Flowtime Optimality," Operations Research, INFORMS, vol. 41(4), pages 797-801, August.
    8. Armentano, Vinicius Amaral & de Franca Filho, Moacir Felizardo, 2007. "Minimizing total tardiness in parallel machine scheduling with setup times: An adaptive memory-based GRASP approach," European Journal of Operational Research, Elsevier, vol. 183(1), pages 100-114, November.
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    Cited by:

    1. Huang, Rong-Hwa & Yang, Chang-Lin & Cheng, Wei-Che, 2013. "Flexible job shop scheduling with due window—a two-pheromone ant colony approach," International Journal of Production Economics, Elsevier, vol. 141(2), pages 685-697.
    2. Janiak, Adam & Janiak, Władysław A. & Krysiak, Tomasz & Kwiatkowski, Tomasz, 2015. "A survey on scheduling problems with due windows," European Journal of Operational Research, Elsevier, vol. 242(2), pages 347-357.
    3. Gerstl, Enrique & Mosheiov, Gur, 2013. "Due-window assignment with identical jobs on parallel uniform machines," European Journal of Operational Research, Elsevier, vol. 229(1), pages 41-47.

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