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 technique for identifying the best practices of a given
set of decision-making units (DMUs) whose performance is categorized by multiple …

Nowadays, energy supply chains have been entangled with many factors (eg,
overconsumption, depletion of fossil fuels, and contamination of natural resources). Besides …

In the technical efficiency evaluation area, it may happen that many observations obtain a
similar relative technical efficiency status, making it difficult to discriminate between them …

To improve the coordination of blood supply and demand, the efficient design of the blood
supply chain network (BSCN) is a proper strategy. In this regard, this paper is the first-ever …

ABSTRACT In recent decades, Artificial Intelligence (AI) has advanced from a research field
to reality for executives. These are demonstrated by the accelerated use of AI technology in …

It is important for policymakers and managers of higher education institutions knowing how
well their universities are operating. This article aimed to show that data envelopment …

Due to its location on the world dry belt, Iran is known as a disaster-prone country.
Regarding such a problem, planning for relief operations in disaster situations seems …

The rising concern about environmental impacts of fossil fuels has forced supply chains to
focus more on environmentally sustainable energy sources. Solar is one of the most …

Data envelopment analysis (DEA) is a self-evaluation method which assesses the relative
efficiency of a particular decision making unit (DMU) within a group of DMUs. It has been …