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An Efficient Algorithm to Check Feasibility for Two-Level Discrete Lot-Sizing and Scheduling

Author

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  • Murat Güngör

    (Istanbul Medeniyet University)

  • Ali Tamer Ünal

    (Boğaziçi University)

Abstract

In general, discrete lot-sizing and scheduling problem (DLSP) is NP-hard in single level, all the more so in multiple levels. We investigate the computational complexity of conceivably the simplest yet nontrivial multi-level DLSP. Namely, we ignore setups and examine the feasibility problem that asks whether all demand can be met on time. As it turns out, an answer can be provided by an algorithm that is polynomial in the planning horizon.

Suggested Citation

  • Murat Güngör & Ali Tamer Ünal, 2025. "An Efficient Algorithm to Check Feasibility for Two-Level Discrete Lot-Sizing and Scheduling," SN Operations Research Forum, Springer, vol. 6(2), pages 1-8, June.
  • Handle: RePEc:spr:snopef:v:6:y:2025:i:2:d:10.1007_s43069-025-00441-0
    DOI: 10.1007/s43069-025-00441-0
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    References listed on IDEAS

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    1. Marc Salomon & Leo G. Kroon & Roelof Kuik & Luk N. Van Wassenhove, 1991. "Some Extensions of the Discrete Lotsizing and Scheduling Problem," Management Science, INFORMS, vol. 37(7), pages 801-812, July.
    2. Gothe-Lundgren, Maud & T. Lundgren, Jan & A. Persson, Jan, 2002. "An optimization model for refinery production scheduling," International Journal of Production Economics, Elsevier, vol. 78(3), pages 255-270, August.
    3. Irvin J. Lustig & Jean-François Puget, 2001. "Program Does Not Equal Program: Constraint Programming and Its Relationship to Mathematical Programming," Interfaces, INFORMS, vol. 31(6), pages 29-53, December.
    4. Bruggemann, Wolfgang & Jahnke, Hermann, 2000. "The discrete lot-sizing and scheduling problem: Complexity and modification for batch availability," European Journal of Operational Research, Elsevier, vol. 124(3), pages 511-528, August.
    5. Karina Copil & Martin Wörbelauer & Herbert Meyr & Horst Tempelmeier, 2017. "Simultaneous lotsizing and scheduling problems: a classification and review of models," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 1-64, January.
    6. Lee, Younsoo & Lee, Kyungsik, 2020. "Lot-sizing and scheduling in flat-panel display manufacturing process," Omega, Elsevier, vol. 93(C).
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