Merging DMUs Based on of the idea Inverse DEA

Iranian Journal of Optimization

مقاله 1، دوره 11، شماره 2، اسفند 2019، صفحه 77-84   

نوع مقاله: Research Paper

نویسندگان

Elaheh Zeinodin؛ Saeid Ghobadi^*

Department of Mathematics, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Isfahan, Iran

چکیده

In this paper, we propose a novel method using multiple-objective programming problems to answer the following question: if among a group of decision making units (DMUs), a subset of DMUs are required to merge and form a new DMU with specific input/output levels and a predefined efficiency target, how much should be the outputs/inputs of the merged DMU? This question answered according to the concept of inverse DEA. Sufficient conditions are established for input/output-estimation of the merged DMU using multiple-objective programming problems. A numerical example with real data is presented to illustrate the goals of this paper.

کلیدواژه‌ها

Data Envelopment Analysis (DEA)؛ Efficiency؛ Inverse DEA؛ Multiple-Objective Programming (MOP)؛ Merging decision making units (DMUs)