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Scheduling with Fixed Delivery Dates

Author

Listed:
  • Nicholas G. Hall

    (Department of Management Sciences, Fisher College of Business, The Ohio State University, Columbus, Ohio 43210-1144)

  • 'Maseka Lesaoana

    (Labour Market Information & Statistics, Department of Labour, Private Bag X117, Pretoria, South Africa 0001)

  • Chris N. Potts

    (Faculty of Mathematical Studies, University of Southampton, Highfield, Southampton, United Kingdom, SO9 5N4)

Abstract

In most classical scheduling models, it is assumed that a job is dispatched to a customer immediately after its processing completes. In many practical situations, however, a set of delivery dates may be fixed before any jobs are processed. This is particularly relevant where delivery is an expensive or complicated operation, for example, as with heavy machinery. A similar situation arises where customers find deliveries disruptive and thus require them to be made within a limited time interval that repeats periodically. A third possibility is that a periodic business function, for example, the supplier's billing cycle, effectively defines a delivery date, and includes all jobs that have been completed since the previous billing cycle. These situations are not adequately represented by classical scheduling models. We consider a variety of deterministic scheduling problems in which a job is dispatched to a customer at the earliest fixed delivery date that is no earlier than the completion time of its processing. Problems where the number of delivery dates is constant, and others where it is specified as part of data input, are studied. For almost all problems considered, we either provide an efficient algorithm or establish that such an algorithm is unlikely to exist. By doing so, we permit comparisons between the solvability of these fixed delivery date problems and of the corresponding classical scheduling problems.

Suggested Citation

  • Nicholas G. Hall & 'Maseka Lesaoana & Chris N. Potts, 2001. "Scheduling with Fixed Delivery Dates," Operations Research, INFORMS, vol. 49(1), pages 134-144, February.
  • Handle: RePEc:inm:oropre:v:49:y:2001:i:1:p:134-144
    DOI: 10.1287/opre.49.1.134.11192
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    References listed on IDEAS

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    Cited by:

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    9. Kathryn E. Stecke & Xuying Zhao, 2007. "Production and Transportation Integration for a Make-to-Order Manufacturing Company with a Commit-to-Delivery Business Mode," Manufacturing & Service Operations Management, INFORMS, vol. 9(2), pages 206-224, September.
    10. Sun Lee, Ik & Yoon, S.H., 2010. "Coordinated scheduling of production and delivery stages with stage-dependent inventory holding costs," Omega, Elsevier, vol. 38(6), pages 509-521, December.
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    15. Azeddine Cheref & Alessandro Agnetis & Christian Artigues & Jean-Charles Billaut, 2017. "Complexity results for an integrated single machine scheduling and outbound delivery problem with fixed sequence," Journal of Scheduling, Springer, vol. 20(6), pages 681-693, December.
    16. Sawik, Tadeusz, 2010. "Single vs. multiple objective supplier selection in a make to order environment," Omega, Elsevier, vol. 38(3-4), pages 203-212, June.
    17. Selvarajah, Esaignani & Steiner, George, 2006. "Batch scheduling in a two-level supply chain--a focus on the supplier," European Journal of Operational Research, Elsevier, vol. 173(1), pages 226-240, August.
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    20. Bachtenkirch, David & Bock, Stefan, 2022. "Finding efficient make-to-order production and batch delivery schedules," European Journal of Operational Research, Elsevier, vol. 297(1), pages 133-152.
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