Handbook On Data Envelopment Analysis

By J. Koehler. 2016

515 citations recorded by the source corpus.

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Towards a Circular Economy in Australian Agri‐food Industry: An Application of Input‐Output Oriented Approaches for Analyzing Resource Efficiency and Competitiveness Potential (2016, unknown): “Contrarily, if θ 1, the analyzed DMUo is dominated by the efficient frontier.”
Stochastic multi-attribute acceptability analysis (SMAA): an application to the ranking of Italian regions (2018, background): “In the domain of Operations Research this naturally leads to the consideration of Data Envelopment Analysis (DEA) (Charnes et al., 1978; Cooper et al., 2011), which brings us to acknowledge another definition of efficiency, taking into account this time the possibility to combine different units.”
A Dea-Logistics Performance Index (2017, unknown): “There exist a number of papers that analyze under different perspective the previous research that have appeared in the DEA literature (Charnes et al. 1994; Emrouznejad et al. 2008; Cook and Seiford 2009; Cooper et al. 2011; Zhu 2014).”
A Network DEA Model with Super Efficiency and Undesirable Outputs: An Application to Bank Efficiency in China (2014, unknown): “[1], DEA(data envelopment analysis) has been widely used to measure the performance of DMUs(decision making unites) that convert multi-inputs into multi-outputs, such as bank performance[2,3], company performance[4,5], hospital web security[6], production planning [7], energy consumption productivit”