Simulation optimization of (s,S) inventory systems

Michael C. Fu · Kevin J. Healy

33 citations0/0 files storedWinter Simulation Conference

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Simulation Techniques and Applications Supply Chain and Inventory Management Complex Systems and Decision Making

Abstract

Various methods have been proposed to conduct simulation optimizationfor discrete event systems such as manufacturing systems and telecommunications systems.We consider a periodic review (s, S) inventory system and report on simulation experiments with two proposed techniques: a deterministic '(retrospective" approach and a gradient-based algorithm.1

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References

1978Stochastic Approximation Methods for Constrained and Unconstrained Systems 1991Gradient Estimation via Perturbation Analysis 1988Perturbation Analysis Gives Strongly Consistent Sensitivity Estimates for the M/G/1 Queue 1987Smoothed (conditional) perturbation analysis of discrete event dynamical systems 1992The Asymptotic Efficiency of Simulation Estimators 1990Optimization in simulation: Current issues and the future outlook 1990Convergence of a stochastic approximation algorithm for the GI/G/1 queue using infinitesimal perturbation analysis 2002An overview of derivative estimation

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