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

被引：0
|
作者：
Kawtar, Tikito [1 ]
Said, Achchab [1 ]
Youssef, Benadada [1 ]
机构：
[1] Mohammed V Univ, ENSIAS, Rabat, Morocco
来源：
PROCEEDINGS OF 2014 2ND IEEE INTERNATIONAL CONFERENCE ON LOGISTICS AND OPERATIONS MANAGEMENT (GOL 2014) | 2014年
关键词：
Supply chain; stochastic demand; optimization of costs; Stochastic Model Predictive Control;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：172 / 175
页数：4
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