Optimization of (s, S) Inventory Systems with Random Lead Times and a Service Level Constraint
AbstractA 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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Bibliographic InfoArticle provided by INFORMS in its journal Management Science.
Volume (Year): 44 (1998)
Issue (Month): 12-Part-2 (December)
(s; S) Inventory Systems; Random Lead Times; Service Level Constraint; Constrained Simulation Optimization; Feasible Directions Search; Perturbation Analysis;
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"Constrained optimization in simulation: A novel approach,"
Open Access publications from Tilburg University
urn:nbn:nl:ui:12-3583585, Tilburg University.
- Kleijnen, J.P.C. & Beers, W.C.M. van & Nieuwenhuyse, I. van, 2008. "Constrained Optimization in Simulation: A Novel Approach," Discussion Paper 2008-95, Tilburg University, Center for Economic Research.
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