期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 81, 期 -, 页码 186-194出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2014.12.032
关键词
Data envelopment analysis; Most efficient DMU; Minimax mixed integer linear programming; Facility layout design; Professional tennis players; Banking industry
资金
- Czech Science Foundation [14-31593S]
- European Social Fund [CZ.1.07/2.3.00/20.0296]
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. (C) 2015 Elsevier Ltd. All rights reserved.
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