A mathematical technique called data envelope analysis is used to determine the relative
efficiency of decision-making units (DMU) with numerous inputs and outputs. Compared to …

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 …

Material selection problem can be interpreted as an intricate MCDM problem. The aim of this
work is to provide a simple and comprehensive MCDM-based framework for solving this …

Purpose Data envelopment analysis (DEA) is a mathematical method for the evaluation of
the relative efficiency of a set of alternatives, which produces multiple outputs by consuming …

Abstract The application of Data Envelopment Analysis (DEA) as a tool for efficiency
evaluation has become widespread in public and private sector organizations. Since …

This paper provides a new method to define a Euclidean common set of weights (ECSW) in
data development analysis (DEA) that (1) allows ranking both efficient and inefficient …

Data envelopment analysis (DEA) has been extended to cross-efficiency evaluation to
provide better discrimination and ranking of decision-making units (DMUs). However, the …

A transportation problem basically deals with the problem which aims to minimize the total
transportation cost or maximize the total transportation profit of distributing a product from a …

Purpose The banking industry, which is one of the most significant industries when taking
into account both deposit sizes and employment statistics in Turkey, is one of the country's …

Recently, sustainable supply chain management has attracted the attention of scholars and
practitioners. Data envelopment analysis (DEA) is a useful tool for evaluating sustainability …