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Technical Note—The Stochastic Discrete Dynamic Lot Size Problem: An Open-Loop Solution

Author

Listed:
  • J. B. Lasserre

    (Laboratoire d'Automatique et d'Analyse des Systèmes du C.N.R.S., Toulouse, France)

  • C. Bes

    (Laboratoire d'Automatique et d'Analyse des Systèmes du C.N.R.S., Toulouse, France)

  • F. Roubellat

    (Laboratoire d'Automatique et d'Analyse des Systèmes du C.N.R.S., Toulouse, France)

Abstract

We investigate the stochastic dynamic lot size model, taking into account probabilistic constraints on the state variable. Our approach is to obtain an open-loop solution by solving a new equivalent deterministic dynamic lot size problem with new parameters. We also discuss characteristics of the new equivalent deterministic problem and note, in particular, that the new formulation preserves concavity or convexity.

Suggested Citation

  • J. B. Lasserre & C. Bes & F. Roubellat, 1985. "Technical Note—The Stochastic Discrete Dynamic Lot Size Problem: An Open-Loop Solution," Operations Research, INFORMS, vol. 33(3), pages 684-689, June.
    • Handle: RePEc:inm:oropre:v:33:y:1985:i:3:p:684-689
    DOI: 10.1287/opre.33.3.684
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    Cited by:

    1. Daniel Adelman & Angelo J. Mancini, 2016. "Optimality of Quasi-Open-Loop Policies for Discounted Semi-Markov Decision Processes," Mathematics of Operations Research, INFORMS, vol. 41(4), pages 1222-1247, November.

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