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 …

In the course of improving various abilities of data envelopment analysis (DEA) models,
many investigations have been carried out for ranking decision‐making units (DMUs). This …

Supply chain (SC) performance evaluation is a complex decision-making problem involving
various criteria under uncertainty situations. This paper studies the supply chain …

The gas flaring process remains a significant contributor to climate change due to the
release of greenhouse gases. Additionally, it denies oil-producing nations access to …

Since the recent appearance of neutrosophic theory as a generalization of fuzzy and
intuitionistic fuzzy theories, many multicriteria decision methods have adopted this theory to …

Making optimal use of available resources has always been of interest to humankind, and
different approaches have been used in an attempt to make maximum use of existing …

Data envelopment analysis (DEA) is a common non-parametric frontier analysis method.
The multiplier framework of DEA allows flexibility in the selection of endogenous input and …

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

Inverse (DEA) is an approach to estimate the expected input/output variation levels when the
efficiency score reminds unchanged. Essentially, finding most efficient decision-making units …

In most data envelopment analysis (DEA) models, the best performers have the full efficient
status denoted by unity (or 100), and, from experience, we know that usually plural decision …