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?

Publications

[mehr erfahren]

  • Kleine, A.; Dinkelbach, W.: Supply Chain Effizienz, Quantitative Methoden der Logistik und des Supply Chain Management, hrsg. von Jacquemin, M.; Pibernik, R.; Sucky, E., Hamburg: Kovac 2006, 21-39.
02.04.2019