Supply Chain Evaluation by Network 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 today’s competitive arena, performance evaluation is essential in all organizations, including the supply chain, to control, lead and plan organizations. As stated in Chap. 8, DEA is a widely used technique to evaluate the performance of DMUs, including the supply chain. Although DEA is a powerful optimization technique used to assess the performance of supply chains, despite its many strengths, it also has certain limitations. Many supply chains are a type of decision-making unit with input and output indicators and multiple internal relationships and intermediate products from one stage of the chain to the next (such as sending raw materials from the supplier to the manufacturer). Also, each stage may have inputs and outputs; therefore, due to the networked or multi-stage nature of the supply chain, traditional DEA models cannot correctly evaluate its performance. Because in conventional DEA models, the units under evaluation are considered black boxes, only their initial inputs and final outputs are included in the assessment, and their internal structure is not considered; therefore, some sources of inefficiency are ignored. Therefore, this chapter explains how to use NDEA models to evaluate supply chain performance. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-031-28247-8_9
dc.identifier.endpage417en_US
dc.identifier.issn2197-6503
dc.identifier.scopus2-s2.0-85158087281en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage329en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-28247-8_9
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4452
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.subjectDecision Makingen_US
dc.subjectDea Modelsen_US
dc.subjectDecision Making Uniten_US
dc.subjectInput And Outputsen_US
dc.subjectIntermediate Producten_US
dc.subjectInternal Relationshipsen_US
dc.subjectMulti-Stagesen_US
dc.subjectNetwork Deaen_US
dc.subjectOptimization Techniquesen_US
dc.subjectPerformanceen_US
dc.subjectPerformances Evaluationen_US
dc.subjectSupply Chainsen_US
dc.titleSupply Chain Evaluation by Network DEAen_US
dc.typeBook Chapteren_US

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