Envelopment Analysis

Data Envelopment Analysis (DEA) is a non-parametric method used to assess the relative efficiency of multiple entities, or "decision-making units," by comparing their inputs and outputs. Current research focuses on applying DEA to diverse fields, including resource allocation (e.g., organ donation, bank branch management), evaluating the efficiency of complex systems (e.g., microservices, natural language models, robot drives), and handling uncertainties in data. This versatile technique provides a powerful framework for benchmarking performance, identifying best practices, and optimizing resource utilization across various domains, contributing to improved decision-making and resource management.