Data Envelopment Analysis

Data Envelopment Analysis 

Data Envelopment Analysis (DEA) is a non-parametric method used for assessing the relative efficiency of decision-making units (DMUs) in the presence of multiple inputs and outputs. It is particularly useful when traditional methods such as regression analysis or parametric optimization are not applicable due to the complexity or lack of explicit functional relationships between inputs and outputs. DEA was originally developed by Abraham Charnes, William W. Cooper, and Edwardo Rhodes in the late 1970s and has since been widely used in various fields, including operations management, economics, finance, and healthcare.