期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 46, 期 8, 页码 2313-2327出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207540601039775
关键词
vendor selection; stochastic data envelopment analysis; multiple criteria; simulation
Vendor selection involves decisions balancing a number of conflicting criteria. Data envelopment analysis (DEA) is a mathematical programming approach capable of identifying non-dominated solutions, as well as assessing relative efficiency of dominated solutions. A simple multi-attribute utility function can be applied to a shall set of alternatives, providing a tool to assess relative value, but is subject to error if estimated measures are not precise. This paper compares stochastic DEA with a multiple-criteria model in a vendor selection model involving multiple criteria, reporting simulation experiments varying the degree of uncertainty involved in model parameters.
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