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Minimizing the weighted number of tardy jobs with due date assignment and capacity-constrained deliveries

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  • George Steiner
  • Rui Zhang

Abstract

We study a supply chain scheduling problem, where a common due date is assigned to all jobs and the number of jobs in delivery batches is constrained by the batch size. Our goal is to minimize the sum of the weighted number of tardy jobs, the due-date-assignment costs and the batch-delivery costs. We show that some well-known $\mathcal{NP}$ -hard problems reduce to our problem. Then we propose a pseudo-polynomial algorithm for the problem, establishing that it is $\mathcal{NP}$ -hard only in the ordinary sense. Finally, we convert the algorithm into an efficient fully polynomial time approximation scheme. Copyright Springer Science+Business Media, LLC 2011

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  • George Steiner & Rui Zhang, 2011. "Minimizing the weighted number of tardy jobs with due date assignment and capacity-constrained deliveries," Annals of Operations Research, Springer, vol. 191(1), pages 171-181, November.
    • Handle: RePEc:spr:annopr:v:191:y:2011:i:1:p:171-181:10.1007/s10479-011-1000-6
    DOI: 10.1007/s10479-011-1000-6
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    References listed on IDEAS

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    2. Dvir Shabtay & George Steiner, 2008. "The single-machine earliness-tardiness scheduling problem with due date assignment and resource-dependent processing times," Annals of Operations Research, Springer, vol. 159(1), pages 25-40, March.
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    4. Yaron Leyvand & Dvir Shabtay & George Steiner, 2010. "Optimal delivery time quotation to minimize total tardiness penalties with controllable processing times," IISE Transactions, Taylor & Francis Journals, vol. 42(3), pages 221-231.
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    Cited by:

    1. Shabtay, Dvir & Mosheiov, Gur & Oron, Daniel, 2022. "Single machine scheduling with common assignable due date/due window to minimize total weighted early and late work," European Journal of Operational Research, Elsevier, vol. 303(1), pages 66-77.
    2. Sang, Yao-Wen & Wang, Jun-Qiang & Sterna, Małgorzata & Błażewicz, Jacek, 2023. "Single machine scheduling with due date assignment to minimize the total weighted lead time penalty and late work," Omega, Elsevier, vol. 121(C).
    3. Hongyan Li & Joern Meissner, 2018. "Capacity optimization and competition with cyclical and lead-time-dependent demands," Annals of Operations Research, Springer, vol. 271(2), pages 737-763, December.
    4. Rasti-Barzoki, Morteza & Hejazi, Seyed Reza, 2013. "Minimizing the weighted number of tardy jobs with due date assignment and capacity-constrained deliveries for multiple customers in supply chains," European Journal of Operational Research, Elsevier, vol. 228(2), pages 345-357.
    5. Chen, Ke & Cheng, T.C.E. & Huang, Hailiang & Ji, Min & Yao, Danli, 2023. "Single-machine scheduling with autonomous and induced learning to minimize total weighted number of tardy jobs," European Journal of Operational Research, Elsevier, vol. 309(1), pages 24-34.
    6. Radosław Rudek, 2012. "Scheduling problems with position dependent job processing times: computational complexity results," Annals of Operations Research, Springer, vol. 196(1), pages 491-516, July.
    7. Shahed Mahmud & Ripon K. Chakrabortty & Alireza Abbasi & Michael J. Ryan, 2022. "Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems," Journal of Intelligent Manufacturing, Springer, vol. 33(7), pages 1939-1966, October.
    8. Saeed Yaghoubi, 2015. "Due-date assignment for multi-server multi-stage assembly systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(7), pages 1246-1256, May.
    9. Dvir Shabtay, 2023. "A new perspective on single-machine scheduling problems with late work related criteria," Annals of Operations Research, Springer, vol. 322(2), pages 947-966, March.

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