Purchasing occupies a strategic role in supply chain management for a firm and is the driver
of competitive advantage. Owing to the high purchase cost to revenue ratio, decisions such …

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 …

Green supply chain management (GSCM) has become a method to improve environmental
performance. Under stakeholder pressures, forces and regulations, companies need to …

Traditional models of data envelopment analysis (DEA) and dynamic DEA cannot forecast
future efficiency of decision making units (DMUs). In other words, all models of DEA and …

Purpose The purpose of this paper is to develop a novel network and dynamic data
envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the …

Sustainable supply chain management (SSCM) is one of the most significant topics. Today,
assessing sustainability and choosing the best supply chain is an important goal for …

One of the advantages of data envelopment analysis (DEA) is to determine benchmarks for
inefficient decision making units (DMUs). However, determination of the benchmarks is the …

Applying a realistic and practical model to evaluate sustainable supply chains has been an
intricate challenge for decision makers. All previous network data envelopment analysis …

Data envelopment analysis (DEA) is a mathematical approach for evaluating the efficiency
of decision-making units that convert multiple inputs into multiple outputs. Traditional DEA …

This study reviews the concepts of performance evaluation in the insurance industry based
on data envelopment analysis. In this study to deal with the problems that exists in …