Decision support system for production and supplier selection in unreliable supply chains

被引:0
作者
Hajji, Adnene [1 ,2 ]
Gharbi, Ali [3 ,4 ]
Rekik, Monia [1 ,2 ]
机构
[1] Univ Laval, Fac Sci Adm, Dept Operat & Decis Syst, Quebec City, PQ G1K 7P4, Canada
[2] Univ Laval, Fac Sci Adm, CIRRELT, Quebec City, PQ G1K 7P4, Canada
[3] Ecole Technol Super, LCCSP Lab, Dept Automated Prod Engn, Montreal, PQ, Canada
[4] Ecole Technol Super, CIRRELT, Montreal, PQ, Canada
来源
PROCEEDINGS OF INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM'2011): INNOVATIVE APPROACHES AND TECHNOLOGIES FOR NETWORKED MANUFACTURING ENTERPRISES MANAGEMENT | 2011年
关键词
Stochastic optimal control; supplier selection strategy; production control; simulation; MULTIPLE-MACHINE; INVENTORY; POLICIES; RATES;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As supply chains are complex, dynamic and consequently unstable, it is inevitable that the involved actors have to react to unforeseen events. Adaptive manufacturing strategies, also known as responsive manufacturing, address this issue by aiming at profitably replenishing the supply chain while dynamically adapting to change. This paper intends to present an aggregated adaptive strategy integrating production, replenishment and supplier selection activities. Based on previous findings and two case studies, involving up to three suppliers, the obtained results show clearly that it is always profitable to consider multiple suppliers to make replenishment and production decisions. We also discuss the generalization of the proposed strategy for more than three suppliers.
引用
收藏
页码:722 / 731
页数:10
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