Data envelopment analysis: theory and applications

Data envelopment analysis: theory and applications

The common weights approach is one of the most prominent methods to further prioritize the subset of DEA efficient units. This approach can be modeled as a multiobjective problem, where one seeks for a common set of weights that locates the efficiency ratio of each unit as close as possible to the target score of 1. In such a setting, different metrics can be applied to measure the distance of ...

Theory of integer-valued data envelopment analysis

Conventional data envelopment analysis (DEA) models assume real-valued inputs and outputs. In many occasions, some inputs and/ or outputs can only take integer values. In some cases, rounding the DEA solution to the nearest whole number can lead to misleading efficiency assessments and performance targets. This paper develops the axiomatic foundation for DEA in the case of integer-valued data, ...

New efficiency theory: extensions and new applications of data envelopment analysis

New types of characterization of Pareto efficiency based on data envelopment analysis are extended here in several new directions involving allocative efficiency and stochastic filtering methods.

Novel theory and methodology developments in data envelopment analysis

Inevitable simplifications of models of real world activities lead to some inadequacies. In the DEA literature several methods were proposed to overcome such difficulties. Some authors proposed to use specific production units in the primal space of inputs and outputs as a starting point in order to improve the frontier of the DEA models. In our previous papers, we introduced the notion of term...

Failure Mode and Effects Analysis Using Data Envelopment Analysis