Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 74, Issue 5-8, Pages 1141-1148Publisher
SPRINGER LONDON LTD
DOI: 10.1007/s00170-014-6035-9
Keywords
Data envelopment analysis; Imprecise data; Supplier selection; Full ranking method; Uncertainly; Best efficient unit
Funding
- Czech Science Foundation (GACR project) [14-31593S]
- European Social Fund [CZ.1.07/2.3.00/20.0296]
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Supplier selection, a multi-criteria decision making (MCDM) problem, is one of the most important strategic issues in supply chain management (SCM). A good solution to this problem significantly contributes to the overall supply chain performance. This paper proposes a new integrated mixed integer programming aEuro data envelopment analysis (MIPaEuroDEA) model for finding the most efficient suppliers in the presence of imprecise data. Using this model, a new method for full ranking of units is introduced. This method tackles some drawbacks of the previous methods and is computationally more efficient. The applicability of the proposed model is illustrated, and the results and performance are compared with the previous studies.
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