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Selecting and full ranking suppliers with imprecise data: A new DEA method

  • Mehdi TolooEmail author
ORIGINAL ARTICLE

Abstract

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 ‐ data envelopment analysis (MIP‐DEA) 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.

Keyword

Data envelopment analysis Imprecise data Supplier selection Full ranking method Uncertainly Best efficient unit 

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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  1. 1.Department of Business AdministrationFaculty of Economics, Technical University of OstravaOstrava 1Czech Republic

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