Title
Some alternative DEA models for two-stage process
Abstract
Two-stage data envelopment analysis (DEA) has been researched by a number of authors. In a recent paper by Kao and Hwang (2008), the overall efficiency of two-stage process was defined as the product of the efficiencies of two individual stages. In a more recent paper by Chen, Cook, Li, and Zhu (2009), the overall efficiency of two-stage process was modeled as a weighted sum of the efficiencies of two individual stages. This paper looks into further two-stage DEA and proposes some alternative DEA models for two-stage process to show that (i) the overall efficiency of two-stage process can also be modeled as a weighted harmonic mean of the efficiencies of two individual stages; (ii) the two-stage DEA model of Kao and Hwang (2008) can be easily extended to variable returns to scale (VRS) assumption; and (iii) the additive efficiency decomposition model of Chen et al. (2009) can be generalized to taking into account the relative importance weights of two individual stages. Numerical illustrations are provided to show the potential applications of the proposed new DEA models.
Year
DOI
Venue
2010
10.1016/j.eswa.2010.06.024
Expert Syst. Appl.
Keywords
Field
DocType
individual stage,data envelopment analysis,recent paper,weighted harmonic mean,two-stage dea,alternative dea model,overall efficiency,proposed new dea model,weighted harmonic mean model,two-stage dea model,two-stage process,additive efficiency decomposition model,generalized two-stage dea model,harmonic mean,data envelope analysis,returns to scale
Econometrics,Chen,Computer science,Harmonic mean,Data envelopment analysis,Returns to scale
Journal
Volume
Issue
ISSN
37
12
Expert Systems With Applications
Citations 
PageRank 
References 
27
1.05
2
Authors
2
Name
Order
Citations
PageRank
Ying-Ming Wang13256166.96
Kwai-Sang Chin2103354.69