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Further study of production possibility set and performance evaluation model in supply chain in DEA

Zhou, Zhongbao, Wang, Mei, Ding, Hui, Ma, Chaoqun, Liu, Wenbin (2013) Further study of production possibility set and performance evaluation model in supply chain in DEA. Annals of Operations Research, 206 (1). pp. 585-592. ISSN 0254-5330. (doi:10.1007/s10479-013-1365-9) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:59727)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/s10479-013-1365-9

Abstract

Performance evaluation is an importance issue in supply chain management. Yang et al. (Ann. Oper. Res. 38(6):195–211, 2011) defined two types of supply chain production possibility sets and proved the equivalence between them. Based on the sub-perfect CRS production possibility set, they proposed a supply chain DEA model to appraise the overall technical efficiency of supply chains. The relationship among efficiency scores of the proposed model, CCR models of system and subsystems are discussed. However, we find that the equivalence between the two types of supply chain production possibility sets is not correct. The proofs of their three theorems are all problematic. In this paper, we correct some results and give three new proofs.

Item Type: Article
DOI/Identification number: 10.1007/s10479-013-1365-9
Uncontrolled keywords: Data envelopment analysis, Supply chain management, Production possibility set, Performance evaluation, Two-stage system
Divisions: Faculties > Social Sciences > Kent Business School
Depositing User: Sarah Saines
Date Deposited: 23 Jan 2017 15:53 UTC
Last Modified: 06 May 2020 03:15 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/59727 (The current URI for this page, for reference purposes)
Liu, Wenbin: https://orcid.org/0000-0001-5966-6235
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