An integrated multi-objective decision model under random constrain for order allocation in a multiple-supplier environment

被引：0

作者：

Pan, Wei ^{[1
]}

Hua, Guowei ^{[2
]}

Wang, Shouyang ^{[2
]}

Zhang, Jinlong ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China

[2] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China

来源：

2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年

关键词：

order allocation; multiple suppliers; purchasing cost; disruption risk;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This paper examine the order allocation problems in a stochastic supply chain. The company in the supply chain can order raw materials from multiple suppliers. At any time of a supply order, the company should deicide the optimal order quantities from suppliers to minimize the total purchasing cost and disruption risk, subject to maintaining a specified service level and quality. We develop an integrated multi-objective decision model under random constraint (AIODMURC) for this problem and solve it using the step method.

引用

页码：6369 / +

页数：2

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