| Issue |
Int. J. Simul. Multidisci. Des. Optim.
Volume 4, Number 1, January 2010
|
|
|---|---|---|
| Page(s) | 1 - 5 | |
| DOI | https://doi.org/10.1051/ijsmdo/2010001 | |
| Published online | 21 July 2011 | |
Optimization of warehousing and transportation costs, in a multi-product multi-level supply chain system, under a stochastic demand
1
Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes (ENSIAS), Mohammed V University, Rabat, Morocco
2
Ecole Mohammadia d'Ingénieurs (EMI), Mohammed V University, Rabat, Morocco
Corresponding author: tikito.kawtar@gmail.com
Received:
15
December
2009
Accepted:
15
February
2010
The centralized management approach provides a general view to set a better coordination between the elements of the supply chain, and look for the equilibrium between the stock and the shipped quantities. This paper describes a stochastic model predictive control algorithm to optimize the warehousing cost and the shipping cost on the same time. We consider a multi-level and multi-product supply chain dealing with a stochastic demand. We solve the stochastic model predictive control problem by a dynamic programming to determine the optimal policies to minimize the costs of shipping and warehousing products.
Key words: Supply Chain / Model Predictive Control / Stochastic demande / multi-product / multi-level
© ASMDO, 2010
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