Uncertain Network Data Envelopment Analysis with Parallel Structure and Imprecisely Inputs and Outputs (Case Study: Social Security Organization)

Objective: Data Envelopment Analysis (DEA) is an effective method for evaluating therelative efficiency of decision-making units (DMUs). The classical approach considerseach organizational unit as a black box and limits evaluation to primary inputs and finaloutputs and neglects internal processes. T...

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Autores principales:	Mansour Momeni, Somayeh Khodaei, Mojtaba Bashiri
Formato:	article
Lenguaje:	FA
Publicado:	University of Tehran 2020
Materias:	network data envelopment analysis uncertainty theory parallel structure Management. Industrial management HD28-70
Acceso en línea:	https://doaj.org/article/1b5b7c2483c048af8e019b51f612bd7b
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spelling	oai:doaj.org-article:1b5b7c2483c048af8e019b51f612bd7b2021-11-14T05:49:09ZUncertain Network Data Envelopment Analysis with Parallel Structure and Imprecisely Inputs and Outputs (Case Study: Social Security Organization)2008-58852423-536910.22059/imj.2020.300992.1007733https://doaj.org/article/1b5b7c2483c048af8e019b51f612bd7b2020-10-01T00:00:00Zhttps://imj.ut.ac.ir/article_81625_38dcd24eab43b71af1867927b8dea347.pdfhttps://doaj.org/toc/2008-5885https://doaj.org/toc/2423-5369Objective: Data Envelopment Analysis (DEA) is an effective method for evaluating therelative efficiency of decision-making units (DMUs). The classical approach considerseach organizational unit as a black box and limits evaluation to primary inputs and finaloutputs and neglects internal processes. This problem with the introduction and use ofDEA in network structures for more accurate performance analysis, taking into accountits internal processes, has been resolved. In most of the proposed models, the inputs andoutputs of DMUs are definite, but in many cases, those data cannot be measured in aprecise way. Therefore, this paper seeks to introduce a new model of Network DataEnvelopment Analysis with a parallel structure by considering inputs and outputs asuncertain variables. The approach used is to develop the mathematical model from atheoretical point of view, to prove the theoretical properties of the model, themathematical validity and its application.Methods: In this paper, the assumptions of uncertainty theory and models of NetworkData Envelopment Analysis to evaluate DMUs with parallel structure and impreciseinputs and outputs.Results: According to the results of the implementation of the proposed model in theSocial Security Organization, the efficiency of all DMUs and its sub-system has beenevaluated between zero and one.Conclusion: Due to the multiplicity of the sub-system, none of the 12-provincial socialsecurity managing directorates as DMUs were efficient (one efficiency score), but among313 branches, three branches were efficient. The final results of the implementation of theuncertain model proved the assumptions of the definitive model.Mansour MomeniSomayeh KhodaeiMojtaba BashiriUniversity of Tehranarticlenetwork data envelopment analysisuncertainty theoryparallel structureManagement. Industrial managementHD28-70FAمدیریت صنعتی, Vol 12, Iss 3, Pp 419-439 (2020)
institution	DOAJ
collection	DOAJ
language	FA
topic	network data envelopment analysis uncertainty theory parallel structure Management. Industrial management HD28-70
spellingShingle	network data envelopment analysis uncertainty theory parallel structure Management. Industrial management HD28-70 Mansour Momeni Somayeh Khodaei Mojtaba Bashiri Uncertain Network Data Envelopment Analysis with Parallel Structure and Imprecisely Inputs and Outputs (Case Study: Social Security Organization)
description	Objective: Data Envelopment Analysis (DEA) is an effective method for evaluating therelative efficiency of decision-making units (DMUs). The classical approach considerseach organizational unit as a black box and limits evaluation to primary inputs and finaloutputs and neglects internal processes. This problem with the introduction and use ofDEA in network structures for more accurate performance analysis, taking into accountits internal processes, has been resolved. In most of the proposed models, the inputs andoutputs of DMUs are definite, but in many cases, those data cannot be measured in aprecise way. Therefore, this paper seeks to introduce a new model of Network DataEnvelopment Analysis with a parallel structure by considering inputs and outputs asuncertain variables. The approach used is to develop the mathematical model from atheoretical point of view, to prove the theoretical properties of the model, themathematical validity and its application.Methods: In this paper, the assumptions of uncertainty theory and models of NetworkData Envelopment Analysis to evaluate DMUs with parallel structure and impreciseinputs and outputs.Results: According to the results of the implementation of the proposed model in theSocial Security Organization, the efficiency of all DMUs and its sub-system has beenevaluated between zero and one.Conclusion: Due to the multiplicity of the sub-system, none of the 12-provincial socialsecurity managing directorates as DMUs were efficient (one efficiency score), but among313 branches, three branches were efficient. The final results of the implementation of theuncertain model proved the assumptions of the definitive model.
format	article
author	Mansour Momeni Somayeh Khodaei Mojtaba Bashiri
author_facet	Mansour Momeni Somayeh Khodaei Mojtaba Bashiri
author_sort	Mansour Momeni
title	Uncertain Network Data Envelopment Analysis with Parallel Structure and Imprecisely Inputs and Outputs (Case Study: Social Security Organization)
title_short	Uncertain Network Data Envelopment Analysis with Parallel Structure and Imprecisely Inputs and Outputs (Case Study: Social Security Organization)
title_full	Uncertain Network Data Envelopment Analysis with Parallel Structure and Imprecisely Inputs and Outputs (Case Study: Social Security Organization)
title_fullStr	Uncertain Network Data Envelopment Analysis with Parallel Structure and Imprecisely Inputs and Outputs (Case Study: Social Security Organization)
title_full_unstemmed	Uncertain Network Data Envelopment Analysis with Parallel Structure and Imprecisely Inputs and Outputs (Case Study: Social Security Organization)
title_sort	uncertain network data envelopment analysis with parallel structure and imprecisely inputs and outputs (case study: social security organization)
publisher	University of Tehran
publishDate	2020
url	https://doaj.org/article/1b5b7c2483c048af8e019b51f612bd7b
work_keys_str_mv	AT mansourmomeni uncertainnetworkdataenvelopmentanalysiswithparallelstructureandimpreciselyinputsandoutputscasestudysocialsecurityorganization AT somayehkhodaei uncertainnetworkdataenvelopmentanalysiswithparallelstructureandimpreciselyinputsandoutputscasestudysocialsecurityorganization AT mojtababashiri uncertainnetworkdataenvelopmentanalysiswithparallelstructureandimpreciselyinputsandoutputscasestudysocialsecurityorganization
_version_	1718429883111047168

Uncertain Network Data Envelopment Analysis with Parallel Structure and Imprecisely Inputs and Outputs (Case Study: Social Security Organization)

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