performfish-analytics-portlet/src/main/java/org/gcube/portlets/user/performfishanalytics/client/resources/Batch_DEAANALYSIS

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DEA is an analytical non-parametric technique used to benchmark the performance of a set of KPIs with respect to another set of KPIs, through the estimation of their technical efficiency (TE). TE is defined as the ratio of the weighted sum of outputs to the weighted sum of inputs where the weights structure is mathematically calculated (using the "variable returns to scale" - VRS - constraint, Banker, Charnes and Cooper 1984). The analysis returns:
1) A TE chart displaying the efficiency curve, which shows the KPIs performance (outputs) given the inputs. If there is more than one input or output, summed values are displayed;
2) TE statistics for all batches data in the VRE, reporting the number of batches in several TE ranges;
3) Measurements of TE per user's batch.
The analysis is performed on all batches data.
Reference: Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.