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 language | English |
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Pages (from-to) | 186-194 |
Number of pages | 9 |
Journal | Computers and Industrial Engineering |
Volume | 81 |
DOIs | |
Publication status | Published - Mar 2015 |
Externally published | Yes |
Keywords
- Banking industry
- Data envelopment analysis
- Facility layout design
- Minimax mixed integer linear programming
- Most efficient DMU
- Professional tennis players
ASJC Scopus subject areas
- General Computer Science
- General Engineering