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Journal Article Evaluating the Efficiency of a Two-stage Production Process using Data Envelopment Analysis
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Authors
Sang Kyu Rho, Jung Nam An
Issue Date
2007-09
Citation
International Transactions In Operational Research, v.13, no.5, pp.395-410
ISSN
0969-6016
Publisher
Elsevier
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1111/j.1475-3995.2007.00597.x
Abstract
Data envelopment analysis (DEA) has been widely used to evaluate the comparative efficiencies of production processes. Most of the DEA applications assume that production processes consist of one stage. However, many production processes such as IT investments have more than one stage. In a two-stage production process, the first stage inputs produce intermediate outputs, which are used as inputs to the second stage to produce the final outputs. In such cases, using single-stage DEA may result in inaccurate efficiency evaluation. To address such problems, DEA models assuming two-stage production processes have been developed. In this paper, we extend two-stage DEA models by considering input and output slacks. We apply our model to the data from the banking industry and compare the results with those of the previous two-stage DEA models. Our model can identify weakly efficient units of evaluation that could not be identified by the previous models. © 2007 Wiley Periodicals, Inc.
KSP Keywords
DEA models, Data envelopment analysis(DEA), First stage, IT Investment, Production process, Two-stage DEA, analysis data, banking industry, efficiency evaluation, input and output, single-stage