Data drain and data uncertainties for rival units affect the reliability and effectiveness of strategic plans for individual operational units. This study introduces a stochastic, multi-stage, optimization technique for short-term forecasting that intends to assist policy makers in developing...

An extended quality-driven efficiency-adjusted data envelopment analysis (QE-DEA) method is developed to measure the performance of service units. Performance is measured based on efficiency and users’ satisfaction. The extended QE-DEA method identifies as benchmarks only units that are...

Super-efficiency data envelopment analysis (SE-DEA) models are expressions of the traditional DEA models featuring the exclusion of the unit under evaluation from the reference set. The SE-DEA models have been applied in various cases such as sensitivity and stability analysis, measurement of...

Operational effectiveness goes beyond efficiency while it incorporates exogenous variables, non-controllable by the service units. Effectiveness is a fundamental driver for the success of an operational unit within a competitive environment. In this context, we seek to identify the active units...

The super-efficiency (SE) model is identical to the standard model, except that the unit under evaluation is excluded from the reference set. This model has been used in ranking efficient units, identifying outliers, sensitivity and stability analysis, measuring productivity changes, and solving...

Effectiveness involves more than simple efficiency, which is limited to the production process assessment of peer operational units. Effectiveness incorporates both endogenous and exogenous variables. It is a fundamental driver for the success of an operational unit within a competitive...

A plethora of performance – effectiveness – efficiency measurement methods have been developed and implemented to public organizations since the mid-nineteenth century. However, the ’60s have been considered a milestone for the measurement methods embraced by the public sector, initially...

Data envelopment analysis (DEA) is a linear programming methodology to evaluate the relative technical efficiency for each member of a set of peer decision making units (DMUs) with multiple inputs and multiple outputs. It has been widely used to measure performance in many areas. A weakness of...

Economic activity produces not only desirable outputs but also undesirable outputs that are usually called negative externalities in economic theory. Negative externalities are usually omitted from efficiency assessments (i.e., applications of Data Envelopment Analysis) which fail to express the...

The directional distance function model is a generalization of the radial model in data envelopment analysis (DEA). The directional distance function model is appropriate for dealing with cases where undesirable outputs exist. However, it is not a units-invariant measure of efficiency, which...