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Facets and Reformulations for Solving Production Planning With Changeover Costs

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  • Thomas L. Magnanti

    (School of Engineering and Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139)

  • Trilochan Sastry

    (Indian Institute of Management, Ahmedabad, India)

Abstract

We study a scheduling problem with changeover costs and capacity constraints. The problem is NP-complete, and combinatorial algorithms for solving it have not performed well. We identify a general class of facets that subsumes as special cases some known facets from the literature. We also develop a cutting-plane-based procedure and reformulation for the problem, and we obtain optimal solutions to problem instances with up to 600 integer variables without resorting to branch-and-bound procedures.

Suggested Citation

  • Thomas L. Magnanti & Trilochan Sastry, 2002. "Facets and Reformulations for Solving Production Planning With Changeover Costs," Operations Research, INFORMS, vol. 50(4), pages 708-719, August.
    • Handle: RePEc:inm:oropre:v:50:y:2002:i:4:p:708-719
    DOI: 10.1287/opre.50.4.708.2861
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    References listed on IDEAS

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    Cited by:

    1. Mütze, Torsten, 2014. "Scheduling with few changes," European Journal of Operational Research, Elsevier, vol. 236(1), pages 37-50.
    2. Jans, Raf & Degraeve, Zeger, 2007. "Meta-heuristics for dynamic lot sizing: A review and comparison of solution approaches," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1855-1875, March.

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