Data Envelopment Analysis
Overview
Data Envelopment Analysis (DEA) is a method for measuring the efficiency of organizations, so-called Decision Making Units (DMU). The DEA allows a comparison of profit and non-profit organizations based on a variety of criteria.
For that purpose, a DMU’s transformation process or production process is characterized by its inputs and outputs. The intention of DEA is the aggregation of such inputs and outputs towards a top key figure. A major advantage of the DEA is based on the fact that the aggregation does not require a predetermination of a weighting scheme, but rather this scheme is the result of the optimization.
The research activities of DEA contain among other things the following topics:
- Meta-Models of DEA
- Online Tool to measure efficiency
- Measuring of cross-efficiency and returns to scale
One of our projects, for example, deals with the measurement of efficiency and returns to scale of airports. Especially in this field, we have non-monetary inputs and outputs, for example service quality and airport security.
Essential research questions in the use case „Efficiency Analysis of airports” are:
- How can airport processes be evaluated and how can they finally be represented comprehensively?
- How can we illustrate potentials for efficiency improvements in order to support the decision-makers accurately?