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

Sridhar Bashyam and Michael C. Fu
Additional contact information
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

Management Science, 1998, vol. 44, issue 12-Part-2, S243-S256

Abstract: 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.

Keywords: (s; S) Inventory Systems; Random Lead Times; Service Level Constraint; Constrained Simulation Optimization; Feasible Directions Search; Perturbation Analysis (search for similar items in EconPapers)
Date: 1998
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Citations: View citations in EconPapers (41)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:44:y:1998:i:12-part-2:p:s243-s256

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