Journal of the Operations Research Society of Japan · 2009 · 75 citations · 4 references
BusinessDecision SciencesOperations ManagementDecision AnalysisMulti-criteria Decision MakingPerformance MeasurementEfficiency AnalysisInput-output AnalysisOperations AnalysisPerformance EvaluationProductivity AnalysisProductivity MeasurementComparative Efficiency AnalysisData Envelopment AnalysisEconomic Efficiency AnalysisModel Performance EvaluationOperations Research ModelsRelative Efficiency
Data envelopment analysis evaluates relative efficiency based on pre‑selected inputs and outputs, yet when performance models are ill‑defined or many potential variables exist, choosing appropriate inputs and outputs becomes challenging. The study proposes a method to select inputs and outputs for DEA using diagonal layout experiments. The method employs diagonal layout experiments to identify an optimal combination of inputs and outputs. We demonstrate the method using financial statement data from the NIKKEI 500 index.
Data envelopment analysis (DEA) is a data oriented, non-parametric method to evaluate relative efficiency based on pre-selected inputs and outputs. In some cases, the performance model is not well defined, so it is critical to select the appropriate inputs and outputs by other means. When we have many potential variables for evaluation, it is difficult to select inputs and outputs from a large number of possible combinations. We propose an input output selection method that uses diagonal layout experiments, which is a statistical approach to find an optimal combination. We demonstrate the proposed method using financial statement data from NIKKEI 500 index.
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Experiments: Planning, Analysis, and Parameter Design Optimization
Henry W. Altland · Technometrics · 2001 · 538 citations