Techniques for optimization via simulation: An experimental study on an (s, S) inventory system

Techniques for optimization via simulation: An experimental study on an (s, S) inventory system

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Article ID: iaor19981494
Country: United States
Volume: 29
Issue: 3
Start Page Number: 191
End Page Number: 199
Publication Date: Jul 1997
Journal: IIE Transactions
Authors: ,
Keywords: optimization, inventory
Abstract:

Various methods have been proposed to conduct optimization via discrete-event simulation. Prevalent among these are gradient-based algorithms, and more recently, so-called retrospective approaches that deterministically optimize over simulated outcomes. In this paper we compare and contrast the performance of these two approaches for the optimization of a periodic review (s, S) inventory system. In practice, gradient-based methods often exhibit undesirably slow convergence, whereas the retrospective approach can be computationally burdensome. We propose a hybrid algorithm that combines aspects of both approaches to mitigate these shortcomings.

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