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Minimizing Weighted Number of Early and Tardy Jobs with a Common Due Window Involving Location Penalty

Author

Listed:
  • W.K. Yeung
  • Ceyda Oğuz
  • T.C. Cheng

Abstract

This paper studies a single machine scheduling problem to minimize the weighted number of early and tardy jobs with a common due window. There are n non-preemptive and simultaneously available jobs. Each job will incur an early (tardy) penalty if it is early (tardy) with respect to the common due window under a given schedule. The window size is a given parameter but the window location is a decision variable. The objective of the problem is to find a schedule that minimizes the weighted number of early and tardy jobs and the location penalty. We show that the problem is NP-complete in the ordinary sense and develop a dynamic programming based pseudo-polynomial algorithm. We conduct computational experiments, the results of which show that the performance of the dynamic algorithm is very good in terms of memory requirement and CPU time. We also provide polynomial time algorithms for two special cases. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • W.K. Yeung & Ceyda Oğuz & T.C. Cheng, 2001. "Minimizing Weighted Number of Early and Tardy Jobs with a Common Due Window Involving Location Penalty," Annals of Operations Research, Springer, vol. 108(1), pages 33-54, November.
    • Handle: RePEc:spr:annopr:v:108:y:2001:i:1:p:33-54:10.1023/a:1016094508744
    DOI: 10.1023/A:1016094508744
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    Citations

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    Cited by:

    1. 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.
    2. Yin, Yunqiang & Cheng, T.C.E. & Hsu, Chou-Jung & Wu, Chin-Chia, 2013. "Single-machine batch delivery scheduling with an assignable common due window," Omega, Elsevier, vol. 41(2), pages 216-225.
    3. Long Zhang & Yuzhong Zhang & Qingguo Bai, 0. "An approximation algorithm for a supply-chain scheduling problem with an assignable common due window and holding time," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-13.
    4. Cheng, T.C.E. & Yang, Suh-Jenq & Yang, Dar-Li, 2012. "Common due-window assignment and scheduling of linear time-dependent deteriorating jobs and a deteriorating maintenance activity," International Journal of Production Economics, Elsevier, vol. 135(1), pages 154-161.
    5. Xinyu Sun & Xin-Na Geng & Tao Liu, 2020. "Due-window assignment scheduling in the proportionate flow shop setting," Annals of Operations Research, Springer, vol. 292(1), pages 113-131, September.
    6. Yeung, W. K. & Oguz, Ceyda & Edwin Cheng, T. C., 2004. "Two-stage flowshop earliness and tardiness machine scheduling involving a common due window," International Journal of Production Economics, Elsevier, vol. 90(3), pages 421-434, August.
    7. Wing‐Kwan Yeung & Ceyda Oğuz & Tai‐Chiu Edwin Cheng, 2009. "Two‐machine flow shop scheduling with common due window to minimize weighted number of early and tardy jobs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(7), pages 593-599, October.
    8. Yunqiang Yin & T. C. E. Cheng & Du-Juan Wang & Chin-Chia Wu, 2017. "Two-agent flowshop scheduling to maximize the weighted number of just-in-time jobs," Journal of Scheduling, Springer, vol. 20(4), pages 313-335, August.
    9. Long Zhang & Yuzhong Zhang & Qingguo Bai, 2022. "An approximation algorithm for a supply-chain scheduling problem with an assignable common due window and holding time," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2167-2179, November.

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