Alternative minimax model for finding the most efficient unit in data envelopment analysis

Mehdi Toloo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

Data envelopment analysis (DEA) deals with the evaluation of efficiency score of peer decision making units (DMUs) and divides them in two mutually exclusive sets: efficient and inefficient. There are various ranking methods to get more information about the efficient units. Nevertheless, finding the most efficient unit is a scientific challenge and hence has been the subject of numerous studies. Here, the main contribution is an integrated model that is able to determine the most efficient unit under a common condition is developed. The current research formulates a new minimax mixed integer linear programming (MILP) model for fining the most efficient DMU. Three different case studies from different contexts are taken as numerical examples to compare the proposed model with other methods. These numerical examples also illustrate the various potential applications of the suggested model.

Original languageEnglish
Pages (from-to)186-194
Number of pages9
JournalComputers and Industrial Engineering
Volume81
DOIs
Publication statusPublished - Mar 2015
Externally publishedYes

Keywords

  • Banking industry
  • Data envelopment analysis
  • Facility layout design
  • Minimax mixed integer linear programming
  • Most efficient DMU
  • Professional tennis players

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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