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Dynamic Lot-Sizing When Demand Timing Is Uncertain

Author

Listed:
  • Michael C. Burstein

    (University of Massachusetts, Amherst, Massachusetts)

  • Christopher H. Nevison

    (Colgate University, Hamilton, New York)

  • Robert C. Carlson

    (Stanford University, Stanford, California)

Abstract

We characterize optimal solutions for the dynamic lot-sizing problem when demand quantities are known, but their timing is uncertain. The characterization states that for some possible history of demands following a period of production, there is a period with zero inventory before another period with production. Using this characterization, we outline a dynamic program for the solution of these problems. Some results from sample problems illustrate the variety of optimal solutions that can occur.

Suggested Citation

  • Michael C. Burstein & Christopher H. Nevison & Robert C. Carlson, 1984. "Dynamic Lot-Sizing When Demand Timing Is Uncertain," Operations Research, INFORMS, vol. 32(2), pages 362-379, April.
    • Handle: RePEc:inm:oropre:v:32:y:1984:i:2:p:362-379
    DOI: 10.1287/opre.32.2.362
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    Cited by:

    1. Jans, R.F. & Degraeve, Z., 2005. "Modeling Industrial Lot Sizing Problems: A Review," ERIM Report Series Research in Management ERS-2005-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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