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Network Programming Models for Production Scheduling in Multi-Stage, Multi-Item Capacitated Systems

Author

Listed:
  • Anthony Zahorik

    (Vanderbilt University)

  • L. Joseph Thomas

    (Cornell University)

  • William W. Trigeiro

    (Vanderbilt University)

Abstract

This paper investigates a multi-item, multi-level production scheduling problem with linear costs and production and inventory constraints at one key facility. Two multi-item problems---one in which the constraint was on shipping capability and one in which there was a final stage bottleneck machine---motivated the paper. A multi-item facilities-in-series problem is formulated, in standard fashion, as a linear program. Then we show that in certain important cases the 3-period problem is a network problem. This 3-period result is used as the basis for a rolling heuristic for T-period problems. The conditions under which this heuristic fails to find optimal solutions are discussed and computational comparisons to standard linear programming are given. Finally, we discuss ways of dealing with two constrained facilities and with setup costs.

Suggested Citation

  • Anthony Zahorik & L. Joseph Thomas & William W. Trigeiro, 1984. "Network Programming Models for Production Scheduling in Multi-Stage, Multi-Item Capacitated Systems," Management Science, INFORMS, vol. 30(3), pages 308-325, March.
    • Handle: RePEc:inm:ormnsc:v:30:y:1984:i:3:p:308-325
    DOI: 10.1287/mnsc.30.3.308
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    Citations

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    Cited by:

    1. Kimms, A, 1998. "Stability Measures for Rolling Schedules with Applications to Capacity Expansion Planning, Master Production Scheduling, and Lot Sizing," Omega, Elsevier, vol. 26(3), pages 355-366, June.
    2. Ping-Chen Chang, 2019. "Reliability estimation for a stochastic production system with finite buffer storage by a simulation approach," Annals of Operations Research, Springer, vol. 277(1), pages 119-133, June.
    3. Kimms, Alf, 1996. "Stability measures for rolling schedules with applications to capacity expansion planning, master production scheduling, and lot sizing," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 418, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Simon Thevenin & Yossiri Adulyasak & Jean‐François Cordeau, 2021. "Material Requirements Planning Under Demand Uncertainty Using Stochastic Optimization," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 475-493, February.
    5. Ozelkan, Ertunga C. & Cakanyildirim, Metin, 2007. "Resource downgrading," European Journal of Operational Research, Elsevier, vol. 177(1), pages 572-590, February.
    6. Huang, Hai-Jun & Xu, Gang, 1998. "Aggregate scheduling and network solving of multi-stage and multi-item manufacturing systems," European Journal of Operational Research, Elsevier, vol. 105(1), pages 52-65, February.
    7. Kimms, Alf & Drexl, Andreas, 1996. "Multi-level lot sizing: A literature survey," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 405, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    8. Chiu, Singa Wang & Pai, Fan-Yun & Wu, Wen Kuei, 2013. "Alternative approach to determine the common cycle time for a multi-item production system with discontinuous deliveries and failure in rework," Economic Modelling, Elsevier, vol. 35(C), pages 593-596.
    9. Milind Dawande & Srinagesh Gavirneni & Yinping Mu & Suresh Sethi & Chelliah Sriskandarajah, 2010. "On the Interaction Between Demand Substitution and Production Changeovers," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 682-691, September.

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