2009
DOI: 10.1016/j.ejor.2008.05.027
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Network DEA: A slacks-based measure approach

Abstract: Traditional DEA models deal with measurements of relative efficiency of DMUs regarding multiple-inputs vs. multiple-outputs. One of the drawbacks of these models is the neglect of intermediate products or linking activities. After pointing out needs for inclusion of them in DEA models, we propose a slacks-based network DEA model that can deal with intermediate products. Using this model we can evaluate divisional efficiencies along with the overall efficiency of decision making units (DMUs).

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Cited by 999 publications
(577 citation statements)
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References 16 publications
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“…Future research aimed at measuring the efficiency of the Italian water services industry might use a non-oriented three-stage sequential network DEA model able to keep continuity of link flows across all stages and compare results with what emerged from this study, see [76].…”
Section: Limitations and Future Research Streamsmentioning
confidence: 99%
“…Future research aimed at measuring the efficiency of the Italian water services industry might use a non-oriented three-stage sequential network DEA model able to keep continuity of link flows across all stages and compare results with what emerged from this study, see [76].…”
Section: Limitations and Future Research Streamsmentioning
confidence: 99%
“…Conversely, quite a few researches focused on general multi-stage network with extra inputs and outputs. As an instance, Tone and Tsutsui proposed a Slacks-Based Measure (SBM) model to measure the system and process e ciencies of a network system with extra inputs and outputs [13]. Kao transformed the nonlinear model into a linear one using a variable substitution technique [14].…”
Section: Literature Reviewmentioning
confidence: 99%
“…By running (6), we can obtain the network DEA efficiency of ten DMUs in the tth time span ( = 1, 2, 3, 4), also (10) Figure 7 reflects the dynamic fluctuation of network DEA efficiency for each DMU over the four time periods, from which we can conclude that the network DEA efficiency of the observed time periods vibrates irregularly. We apply model (9) for the sake of evaluating the overall dynamic network efficiency of DN-DEA on the basis of the DEA structure proposed in Figure 5. The overall dynamic network efficiency and ranking sequence of DN-DEA can be finally provided in Table 5, which can be compared in Figure 8.…”
Section: Numerical Examplementioning
confidence: 99%
“…Thus, it is a simple network model with time parameter, but not real dynamic network DEA model. Fourthly, Tone and Tsutsui [9] dealt with intermediate products formally to evaluate divisional efficiencies along with the overall efficiency of DMUs by a slack-based measure.…”
Section: Introductionmentioning
confidence: 99%