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Scientific article
English

A global simulation-optimization approach for inventory management in a decentralized supply chain

Published inSupply chain forum
Publication date2017
Abstract

The optimal calibration of inventory management policies in a multi-echelon linear supply chain (SC) constitutes a complex problem. The difficulty to provide a clear and unique answer leads to frustration in using serious games for educational purposes. In this work, a simulation-based optimization approach, using a dynamic tabu search metaheuristic, is developed and applied to a specific case of a four-echelon linear SC. A stochastic demand with constant mean is used and different service levels to the market are considered. The results indicate significant differences of the required on-hand inventory, cost contributions and cost element importance between the different echelons. The non-linear influence of the service level on the various parameters and costs is also observed. The obtained results are consistent and provide a clear answer to the stated problem. The methodology developed can be easily generalized to other cases.

Keywords
  • Inventory Management
  • Supply Chain
  • Optimization
Citation (ISO format)
ARGUILAGET MONTARELO, Lidia, GLARDON, Rémy, ZUFFEREY, Nicolas. A global simulation-optimization approach for inventory management in a decentralized supply chain. In: Supply chain forum, 2017.
Main files (1)
Article (Accepted version)
accessLevelPrivate
Identifiers
  • PID : unige:92806
ISSN of the journal1624-6039
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Technical informations

Creation03/20/2017 5:27:00 PM
First validation03/20/2017 5:27:00 PM
Update time03/15/2023 1:29:38 AM
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