Merging DMUs Based on of the idea Inverse DEA
نویسندگان
چکیده مقاله:
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.
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عنوان ژورنال
دوره 11 شماره 2
صفحات 77- 84
تاریخ انتشار 2019-12-01
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