Title of article :
Merging DMUs Based on of the Idea Inverse DEA
Author/Authors :
Zeinodin, Elaheh Department of Mathematics - Islamic Azad University, Khomeinishahr, Isfahan, Iran , Ghobadi, Saeid Department of Mathematics - Islamic Azad University, Khomeinishahr, Isfahan, Iran
Abstract :
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
Farsi abstract :
فاقد چكيده فارسي
Keywords :
Data Envelopment Analysis (DEA) , Efficiency , Inverse DEA , Multiple-Objective Programming (MOP) , Merging decision making units (DMUs)
Journal title :
IJO: Iranian Journal of Optimization
