Stochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand

This paper aims to present a Stochastic Model Predictive Control to optimize the costs of shipping and storage in a supply chain. The goal is to minimize the objective function of the combined costs in a multi-stage and a multi-level supply chain responding to a stochastic multi-product demand. The...

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Bibliographic Details
Published in2014 International Conference on Logistics Operations Management pp. 171 - 175
Main Authors Kawtar, Tikito, Said, Achchab, Youssef, Benadada
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2014
Subjects
History
Mathematical model
Optimization
optimization of costs
Predictive control
Predictive models
stochastic demand
Stochastic Model Predictive Control
Stochastic processes
Supply chain
Supply chains
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DOI10.1109/GOL.2014.6887436

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Summary:This paper aims to present a Stochastic Model Predictive Control to optimize the costs of shipping and storage in a supply chain. The goal is to minimize the objective function of the combined costs in a multi-stage and a multi-level supply chain responding to a stochastic multi-product demand. The simulation using Matlab provides a comparison between classical models and the proposed model, and shows that the Affine Recourse Stochastic Model Predictive Control - AR SMPC offers better results.
DOI:10.1109/GOL.2014.6887436