A new data envelopment analysis method for ranking decision making units: an application in industrial parks

A new data envelopment analysis method for ranking decision making units: an application in industrial parks

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Article ID: iaor201528860
Volume: 32
Issue: 5
Start Page Number: 596
End Page Number: 608
Publication Date: Oct 2015
Journal: Expert Systems
Authors: ,
Keywords: case studies, ranking
Abstract:

Relative efficiency of decision‐making units (DMUs) is assessed by classical data envelopment analysis (DEA) models. DEA is a popular technique for efficiency evaluation. There might be a couple of efficient DMUs. Classical DEA models cannot fully rank efficient DMUs. In this paper, a novel technique for fully ranking all DMUs based on changing reference set using a single virtual inefficient DMU is proposed. To this end, the first concept of virtual DMU is defined as average of all inefficient DMUs. Virtual DMU is a proxy of all inefficient DMUs. This new method proposes a new ranking method that takes into account impact of efficient DMUs on virtual DMU and impact of efficient DMUs on influences of other efficient DMUs. A case study is given to show applicability of the proposed approach.

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