@conference {Kawtar2014171,
	title = {Stochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand},
	booktitle = {Proceedings of 2nd IEEE International Conference on Logistics Operations Management, GOL 2014},
	year = {2014},
	note = {cited By 1},
	pages = {171-175},
	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. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/GOL.2014.6887436},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908611786\&doi=10.1109\%2fGOL.2014.6887436\&partnerID=40\&md5=4a6eec4c578041a83cf910609deb9598},
	author = {Kawtar, T. and Said, A. and Youssef, B.}
}
