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Optimization of (s, S) Inventory Systems with Random Lead Times and a Service Level Constraint

Listed author(s):
  • Sridhar Bashyam

    (KPMG Peat Marwick LLP, 2300 Clarendon Boulevard, Arlington, Virginia 22201)

  • Michael C. Fu

    (The Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

Registered author(s):

    A major assumption in the analysis of (s, S) inventory systems with stochastic lead times is that orders are received in the same sequence as they are placed. Even under this assumption, much of the work to date has focused on the unconstrained optimization of the system, in which a penalty cost for unsatisfied demand is assigned. The literature on constrained optimization, wherein a service level requirement needs to be met, is more sparse. In this paper, we consider the constrained optimization problem, where orders are allowed to cross in time. We propose a feasible directions procedure that is simulation based, and present computational results for a large number of test cases. In the vast majority of cases, we come within 5% of estimated optimality.

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    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 44 (1998)
    Issue (Month): 12-Part-2 (December)
    Pages: 243-256

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    Handle: RePEc:inm:ormnsc:v:44:y:1998:i:12-part-2:p:s243-s256
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    1. Tijms, H. C. & Groenevelt, H., 1984. "Simple approximations for the reorder point in periodic and continuous review (s, S) inventory systems with service level constraints," European Journal of Operational Research, Elsevier, vol. 17(2), pages 175-190, August.
    2. Helmut Schneider & Jeffrey L. Ringuest, 1990. "Power Approximation for Computing (s, S) Policies Using Service Level," Management Science, INFORMS, vol. 36(7), pages 822-834, July.
    3. Pierre L'Ecuyer & Nataly Giroux & Peter W. Glynn, 1994. "Stochastic Optimization by Simulation: Numerical Experiments with the M/M/1 Queue in Steady-State," Management Science, INFORMS, vol. 40(10), pages 1245-1261, October.
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