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The Capacitated Lot-Sizing Problem with Linked Lot Sizes

Author

Listed:
  • Christopher Suerie

    (Technische Universität Darmstadt, Institut fü r Betriebswirtschaftslehre, Fachgebiet Produktion & Supply Chain Management, HochschulstraÑ 1, D-64289 Darmstadt, Germany)

  • Hartmut Stadtler

    (Technische Universität Darmstadt, Institut fü r Betriebswirtschaftslehre, Fachgebiet Produktion & Supply Chain Management, HochschulstraÑ 1, D-64289 Darmstadt, Germany)

Abstract

In this paper a new mixed integer programming (MIP) model formulation and its incorporation into a time-oriented decomposition heuristic for the capacitated lot-sizing problem with linked lot sizes (CLSPL) is proposed. The solution approach is based on an extended model formulation and valid inequalities to yield a tight formulation. Extensive computational tests prove the capability of this approach and show a superior solution quality with respect to other solution algorithms published so far.

Suggested Citation

  • Christopher Suerie & Hartmut Stadtler, 2003. "The Capacitated Lot-Sizing Problem with Linked Lot Sizes," Management Science, INFORMS, vol. 49(8), pages 1039-1054, August.
    • Handle: RePEc:inm:ormnsc:v:49:y:2003:i:8:p:1039-1054
    DOI: 10.1287/mnsc.49.8.1039.16406
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    References listed on IDEAS

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