Data Envelopment Analysis - Basic Models and their Utilization

Authors

  • Milan M. Martič University of Belgrade, Faculty of Organizational Sciences, Jove Ilića 154, 11000 Belgrade, Serbia
  • Marina S. Novakovič 1University of Belgrade, Faculty of Organizational Sciences, Jove Ilića 154, 11000 Belgrade, Serbia
  • Alenka Baggia alenka.baggia@fov.uni-mb.si

Abstract

Data Envelopment Analysis (DEA) is a decision making tool based on linear programming for measuring the relative efficiency of a set of comparable units. Besides the identification of relatively efficient and inefficient units, DEA identifies the sources and level of inefficiency for each of the inputs and outputs. This paper is a survey of basic DEA models. The comparison of DEA models is given. The effect of model orientation (input or output) on the efficiency frontier and the effect of convexity requirements on returns to scale are examined. The paper also explains how DEA models can be used to assess the efficiency

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Published

2009-04-01

Issue

Vol.42, No 2 (2009)

Section

Research Papers