Abstract
Data Envelopment Analysis (DEA) is designed to measure the efficiency of decision making units (DMUs). A scalarizing function reduces all numerical information on inputs and outputs of a DMU to a single efficiency score. A range adjusted measure normalizes input and output values through equalization factors, already known from Multicriteria Decision Making. Cooper et al (1999) introduce a range adjusted DEA model for a non-radial measure with variable returns to scale. We extend this approach by the help of a general DEA model framework. Calculation of suitable range adjusted measures is incorporated in a web-based DEA-tool. This tool allows processing of individual sets of data with a broad choice of model characteristics.
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Kleine, A., Sebastian, D. (2005). Generalized DEA-Range Adjusted Measurement. In: Fleuren, H., den Hertog, D., Kort, P. (eds) Operations Research Proceedings 2004. Operations Research Proceedings, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-27679-3_48
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DOI: https://doi.org/10.1007/3-540-27679-3_48
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24274-1
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