Network-based method for ranking of efficient units in two-stage DEA models

被引：52

作者：

Liu, J. S. ^{[1
]}

Lu, W-M ^{[2
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Grad Inst Technol Management, Taipei 106, Taiwan

[2] Natl Def Univ, Taipei, Taiwan

来源：

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY | 2012年 / 63卷 / 08期

关键词：

data envelopment analysis; two-stage DEA; network-based ranking method; network centrality; DATA ENVELOPMENT ANALYSIS; INCREASING DISCRIMINATION; MARKETABILITY; PROFITABILITY; PRODUCTIVITY;

D O I：

10.1057/jors.2011.132

中图分类号：

C93 [管理学];

学科分类号：

12 ; 1201 ; 1202 ; 120202 ;

摘要：

This study presents a methodology that is able to further discriminate the efficient decision-making units (DMUs) in a two-stage data envelopment analysis (DEA) context. The methodology is an extension of the single-stage network-based ranking method, which utilizes the eigenvector centrality concept in social network analysis to determine the rank of efficient DMUs. The mathematical formulation for the method to work under the two-stage DEA context is laid out and then applied to a real-world problem. In addition to its basic ranking function, the exercise highlights two particular features of the method that are not available in standard DEA: suggesting a benchmark unit for each input/intermediate/output factor, and identifying the strengths of each efficient unit. With the methodology, the value of DEA greatly increases. Journal of the Operational Research Society (2012) 63, 1153-1164. doi: 10.1057/jors.2011.132 Published online 7 December 2011

引用

页码：1153 / 1164

页数：12

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