Data Envelopment Analysis (DEA) is a non‐parametric technique for assessing the relative efficiency of decision making units (DMUs) by comparing the ratio of multiple inputs to outputs. Since its ...

Data envelopment analysis methods classify the decision making units into two groups: efficient and inefficient ones. Therefore, the fully ranking all DMUs is demanded by most of the decision makers.

This is a preview. Log in through your library . Abstract A new technique for assessing the sensitivity and stability of efficiency classifications in Data Envelopment Analysis (DEA) is presented.

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Climate change, geopolitical tensions, black swan events, social injustices and violation of human rights are some of the challenges that current production systems face at a global level. To achieve ...

We build a frontier function model with technical and cost efficiency measures to assess the impact of energy costs on competitiveness in the aluminum industry, a heavy energy consumer, by identifying ...