An investigation of the undesirable outputs congestion in data envelopment analysis

Bibliographic Data

ID12945298
AuthorsSoodabeh Nazari (Islamic Azad University Kerman), Mohsen Rostamy‐Malkhalifeh (0000-0001-6105-7674, Islamic Azad University, Science and Research Branch), Ali Hamzehee (0000-0003-2610-998X, Islamic Azad University Kerman)
Year2020
Volume33
Issue02
Pages468-475
Publication date2020-12-31
Open AccessYes
TypeARTICLE
VenueNexo Revista Científica (JOURNAL)
Journal identifiersISSN: 1818-6742 • E-ISSN: 1995-9516
PublisherConsejo Nacional de Rectores (PUBLISHER)
DOI10.5377/nexo.v33i02.10785
OpenAlexW3121535195
LanguageEN
References cited3

Congestion is one of the most important subjects in Data Envelopment Analysis (DEA) which helps the Decision Maker (DM) to decide about changing the size of units. The estimation of congestion has attractive advantages from different perspectives. For example, the total cost of a partiular DMU, in which the congestion occurs, can be reduced by the decreases in inputs. On the other hand, the output of units can be increased by the recognizing and eliminating the congestion of DMUs and so, the total profit of decision making units can be increased. Hence, the management is eager to know how to recognize and eliminate the congestion of units. Most of the existing methods to estimation of the congestion in the literature consider only the desirable outputs. This study focuses on the evaluation of congestion in the presence of undesirable outputs and proposes an approach to recognize the congestion of units. The method is demonstrated on a numerical example to illustrate the validity of the proposed method

Congestion management · Data envelopment analysis · Decision maker · Economics · Mathematical optimization · Microeconomics · Operations research · Profit (economics · Computer Science · Efficiency Analysis Using DEA · Mathematics

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