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 data-driven non-parametric approach for measuring
the efficiency of a set of decision making units (DMUs) using multiple inputs to generate …

Abstract Data Envelopment Analysis (DEA) is a powerful tool for measuring the relative
efficiency for a set of Decision Making Units (DMUs) that transform multiple inputs into …

In many applications of data envelopment analysis (DEA), there is often a fixed cost or input
resource which should be imposed on all decision making units (DMUs). Cook and Zhu [WD …

How to allocate initial emission permits is vital for the cap-and-trade system in controlling the
total emission level and improving the operation efficiency of the trade mechanism. And data …

Resource allocation, as an important issue in management science, has drawn a lot of
attention from both relative researchers and corporate managers. In recent years, data …

Exploring a commonly acceptable fixed cost allocation (FCA) scheme is a challenging yet
significant task, since one may contend with conflicting objectives. In this paper, we propose …

Data envelopment analysis (DEA) has proven to be a useful technique for evaluating the
relative performance of comparable and homogeneous decision-making units (DMUs). In …

A centralised data envelopment analysis (DEA) approach optimises the resource usage for
all the different units in an organization rather than for each unit separately (conventional …

This paper suggests new empirical DEA models for the measurement of health indicators
and the allocation of health resources. The proposed models were developed by first …