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 …

Assessing sustainability of supply chains is a critical and increasingly complex problem. In
recent years sustainability has received more attention in supply chain management (SCM) …

In the conventional data envelopment analysis (DEA) approach, decision making units
(DMUs) are regarded as black boxes that transform sets of inputs into sets of outputs without …

In conventional data envelopment analysis (DEA) models, data are usually considered as
continuous measures while the role of measures from input and/or output aspects is known …

Supplier selection is an important decision-making problem in supply chain management.
Selecting appropriate suppliers based on sustainability criteria including economic …

Purpose The purpose of this study is to estimate inputs (outputs) and flexible measures
when outputs (inputs) are changed provided that the relative efficiency values remain …

The present study focuses on the extention of modified MAJ model in stochastic-data
presence. To this aim, a stochastic modified MAJ model in stochastic data envelopment …

In this chapter we present an overview of the different approaches that have considered
translation invariant Data Envelopment Analysis (DEA) models. Translation invariance is a …

In conventional data envelopment analysis (DEA), measures are classified as either input or
output. However, in some real cases there are variables which act as both input and output …

In conventional DEA models, it is supposed real-valued inputs and outputs while every
measure must be determined as an input or output. However, in some cases, there are …