Performance Evaluation of the Supply Chains Using DEA

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dc.contributor.authorHosseinzadeh Lotfi, F.
dc.contributor.authorAllahviranloo, T.
dc.contributor.authorShafiee, M.
dc.contributor.authorSaleh, H.
dc.date.accessioned2024-05-19T14:34:17Z
dc.date.available2024-05-19T14:34:17Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIn recent years, supply chain management has become one of the essential topics in business literature. Because in the industrial world, in addition to dealing with internal issues, companies need to manage and monitor issues outside the organization to remain competitive with other competitors. In other words, it is vital for supply chain management to know the capabilities of each company to compete effectively in the business environment, maintaining the strengths and trying to eliminate the negative points. One of the crucial points in supply chain management is performance and efficiency measurement in competition with other competitors. In other words, supply chain performance evaluation is how to use quantitative and qualitative inputs to produce quantitative and qualitative outputs. With these conditions, measuring efficiency in supply chains is an essential issue for companies in creating regular competition with other competitors. Therefore, evaluating the efficiency of a company’s supply chain is a complex phenomenon, and instead of considering a single criterion, more cases should be considered. Also, by knowing the position of a company in a specific industry compared to other competitors, expectations from the company to increase its multiple outputs or reduce the level of various inputs to improve efficiency can be managed appropriately. Therefore, it is necessary to evaluate the performance of the supply chain by a mathematical model using financial and non-financial indicators of the supply chain. Thus, using DEA to assess supply chains has interested many researchers. The use of DEA models makes it possible to analyze the performance of supply chains in different dimensions by considering various indicators (input–output) by creating a frontier to compare the best position of each unit under evaluation with its current status and other units under assessment. So this technique gives sufficient information to evaluate the performance of supply chains. Therefore, in this chapter, we explain DEA models to assess the efficiency of supply chains. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-031-28247-8_8
dc.identifier.endpage328en_US
dc.identifier.issn2197-6503
dc.identifier.scopus2-s2.0-85158102070en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage301en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-28247-8_8
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4451
dc.identifier.volume122en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Big Dataen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectEfficiencyen_US
dc.subjectBusiness Environmentsen_US
dc.subjectConditionen_US
dc.subjectDea Modelsen_US
dc.subjectEfficiency Measurementen_US
dc.subjectIs Performanceen_US
dc.subjectManagement Isen_US
dc.subjectPerformanceen_US
dc.subjectPerformance Measurementsen_US
dc.subjectPerformances Evaluationen_US
dc.subjectSupply Chain Performanceen_US
dc.subjectSupply Chain Managementen_US
dc.titlePerformance Evaluation of the Supply Chains Using DEAen_US
dc.typeBook Chapteren_US

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