Supply Chain Evaluation by Network DEA
Küçük Resim Yok
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In 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.
Açıklama
Anahtar Kelimeler
Decision Making, Dea Models, Decision Making Unit, Input And Outputs, Intermediate Product, Internal Relationships, Multi-Stages, Network Dea, Optimization Techniques, Performance, Performances Evaluation, Supply Chains
Kaynak
Studies in Big Data
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
122
