Article (Author postprint) (340 Kb) - 
Private access
Highlights
More informations
Home
Titles listA global simulation-optimization approach for inventory management in a decentralized supply chain
Titles listA global simulation-optimization approach for inventory management in a decentralized supply chain
Scientific Article
unige:92806 
 |
A global simulation-optimization approach for inventory management in a decentralized supply chain |
|
| Authors | ||
| Published in | Supply Chain Forum. 2017 | |
| 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 | |
| Full text | ||
| Structures | ||
| 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. https://archive-ouverte.unige.ch/unige:92806 |
750 hits 
0 download 
Contact an author
Update