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

TitreStochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand
Publication TypeConference Paper
Year of Publication2014
AuthorsKawtar, T, Said, A, Youssef, B
EditorBenadada, Y
Conference NamePROCEEDINGS OF 2014 2ND IEEE INTERNATIONAL CONFERENCE ON LOGISTICS AND OPERATIONS MANAGEMENT (GOL 2014)
PublisherIEEE; Mohammed VI Souissi Univ, ENSIAS Sch; Univ Le Havre; Sidi Mohamed Ben Abdellah Univ, FST
ISBN Number978-1-4799-4650-1
Abstract

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.

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