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

页码：172 / 175

页数：4

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