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Supplier selection problem: A literature review of Multi-criteria approaches based on DEA

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  • Alexios-Patapios Kontis
  • Vassilios Vrysagotis

Abstract

Supplier selection problem usually is very complicated, because variety of uncontrollable and unpredictable factors affect on evaluation and decision-making process. Various decision making approaches have been proposed to tackle the problem as part of a general tendering process, particularly those of multi-criteria analysis which use both quantitative and qualitative data. Specifically for this problem have been proposed methodologies and techniques included methods such as Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), Case-Based Reasoning (CBR), Genetic Algorithms (GA), SMART theory (Simple Multi-Attribute Rating Technique) and Data Envelopment Analysis (DEA). This paper reviews the literature of the multi-criteria decision making approaches for evaluation and selection supplier based on Data Envelopment Analysis (DEA) and (its their) combinations.

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  • Alexios-Patapios Kontis & Vassilios Vrysagotis, 2011. "Supplier selection problem: A literature review of Multi-criteria approaches based on DEA," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 1(2), pages 1-10.
    • Handle: RePEc:spt:admaec:v:1:y:2011:i:2:f:1_2_10
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    Cited by:

    1. Pankaj Dutta & Bharath Jaikumar & Manpreet Singh Arora, 2022. "Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review," Annals of Operations Research, Springer, vol. 315(2), pages 1399-1454, August.

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