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

Titre	Stochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand
Publication Type	Conference Paper
Year of Publication	2014
Authors	Kawtar, T, Said, A, Youssef, B
Conference Name	Proceedings of 2nd IEEE International Conference on Logistics Operations Management, GOL 2014
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. © 2014 IEEE.
URL	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908611786&doi=10.1109%2fGOL.2014.6887436&partnerID=40&md5=4a6eec4c578041a83cf910609deb9598
DOI	10.1109/GOL.2014.6887436