A new data envelopment analysis method for ranking decision making units: an application in industrial parks. Issue 5 (4th June 2015)

• Record Type: Journal Article
• Authors: Izadikhah, Mohammad; Farzipoor Saen, Reza
• Is Part Of: Expert systems. Volume 32:Issue 5(2015)
• Page Start: 596
• Page End: 608
• Publication Date: 2015-06-04
• Subjects: Expert systems (Computer science); 006.33
• DOI: 10.1111/exsy.12112
• Languages: English
• ISSNs: 0266-4720

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>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.</p> </abstract>