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Inverse data envelopment analysis for merging two-stage network systems
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Z. Shiri Daryani   , Gh. Tohidi , B. Daneshian , Sh. Razavyan , F. Hosseinzadeh Lotfi |
| Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran, Iran |
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Abstract: (1176 Views) |
| The inverse data envelopment analysis (InvDEA) technique is an applicable method in order to estimate the input/output levels of decision-making units (DMUs) to preserve predetermined technical efficiency scores. In the managerial atmosphere, the decision maker (DM) aims to merge two or more units and needs to know the input/output levels of the merged unit, while the efficiency score of the new unit is set, however, in some cases, the units have two-stage network structures. The main purpose of this paper is merging DMUs with two-stage network structures. To reach this goal, in this paper, an InvDEA method is presented in order to estimate inputs and the intermediate products of two-stage DMUs, to achieve the different predetermined efficiency scores which have been set by the DM. |
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| Keywords: Inverse DEA, Network DEA, Two-Stage Systems, Merge and Aggregation |
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Full-Text [PDF 460 kb]
(886 Downloads)
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Type of Study: Research |
Subject:
General
Received: 2023/04/20 | Accepted: 2023/09/14 | Published: 2023/09/29
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