In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

Data envelopment analysis (DEA) is a prominent technique to make decisions and improve
alternatives based on non-parameter modeling and ratio calculation. However, an obvious …

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of
a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs …

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of
a set of decision making units (DMUs) that use multiple inputs to produce multiple outputs …

The paper presents a novel cross-efficiency fuzzy Data Envelopment Analysis (DEA)
technique for evaluating different elements (Decision Making Units or DMUs) under …

Data envelopment analysis (DEA) is a widely used technique for measuring the relative
efficiencies of decision-making units (DMUs) with multiple inputs and multiple outputs. The …

Group consensus ranking is an important topic in performance evaluation and selection
research. Data envelopment analysis (DEA) has been used for obtaining an efficiency score …

This article presents an integrated computer simulation–stochastic data envelopment
analysis (SDEA) approach to deal with the job shop facility layout design problem (JSFLD) …

Industrial process planning is to make an optimal decision in terms of resource allocation.
The planning objective can be to minimize the time required to complete a task, maximize …

Abstract Data Envelopment Analysis (DEA) is a very effective method to evaluate the relative
efficiency of decision-making units (DMUs), which has been applied extensively to …