Optimizing vendor selection in a two-stage outsourcing process

被引:38
作者
Cao, Qing [1 ]
Wang, Qiong
机构
[1] Univ Missouri, Bloch Sch Business & Publ Adm, Kansas City, MO 64110 USA
[2] Bell Labs, Lucent Technol, Murray Hill, NJ 07974 USA
关键词
outsourcing; vendor selection; Combinatorial Optimization; risk management;
D O I
10.1016/j.cor.2006.01.013
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The decision processes surrounding outsourcing are complicated by the very nature of uncertainty involved in the outsourcing process and by poor vendor management. In this study, we focus on vendor selection, one of the two basic issues of vendor management in outsourcing. Due to the limitation of the classic one-stage vendor selection model, we propose a two-stage vendor selection research framework in outsourcing. The first stage is a trial phase that helps the client to find the best match between the vendor and the outsourced project. In the second stage, the client employs the chosen vendor for the full implementation of the project. We formulate this selection decision under the two-stage framework as a combinatorial optimization model. We analyze the complexity of the problem and develop a solution procedure to find the exact optimal solution. By applying this model to numerical case studies, we demonstrate that benefit to adopt two-stage process to the vendor depends on information improvement in the first stage and the client's ability to adapt to updated knowledge. We also argue that the selection of vendors for the first stage testing is more about creating a good vendor portfolio than simply picking the frontrunners. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:3757 / 3768
页数:12
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