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 …

According to a conventional interpretation of a multiplier DEA model, its optimal weights
show the decision making unit under the assessment, denoted DMU o, in the best light in …

The constant returns to scale assumption maintained by neoclassical theorists for justifying
the black-box structure of production technology in long run does not necessarily allow one …

In the nonparametric data envelopment analysis literature, scale elasticity is evaluated in
two alternative ways: using either the technical efficiency model or the cost efficiency model …

The notions of metatechnology and metafrontier arise in applications of data envelopment
analysis (DEA) in which decision making units (DMUs) are not sufficiently homogeneous to …

Economic-environmental performance or eco-efficiency is a topic of great interest due to the
“green movement.” Data Envelopment Analysis (DEA) is a non-parametric method for …

We present a unifying linear programming approach to the calculation of various directional
derivatives for a very large class of production frontiers of data envelopment analysis (DEA) …

The implicit definition and nondifferentiability of efficient frontiers used in data envelopment
analysis are two major obstacles to obtaining their differential characteristics, including …

In this paper we focus on scale elasticity measure based on directional distance function for
multi-output–multi-input technologies, explore its fundamental properties and show its …

In this paper, a new multiobjective discrete particle swarm algorithm is presented for the
Capacitated vehicle routing problem. The binary algorithm integrates particle displacement …