Modeling data envelopment analysis (DEA) efficient location/allocation decisions

Authors:
Ronald K. Klimberg;Samuel J. Ratick
Affiliations:
Haub School of Business, Saint Joseph's University, Philadelphia, PA 19131, USA;The George Perkins Marsh Research Institute, The Graduate School of Geography, Clark University, Worcester, MA 01610, USA
Venue:
Computers and Operations Research
Year:
2008

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Cited 1

The use of multi-criteria data envelopment analysis (MCDEA) for location-allocation problems in a fuzzy environment

Expert Systems with Applications: An International Journal

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Abstract

Many types of facility location/allocation models have been developed to find optimal spatial patterns with respect to various location criteria that include cost, time, coverage, and access among others. In this paper we develop and test location modeling formulations that utilize data envelopment analysis (DEA) efficiency measures to find optimal and efficient facility location/allocation patterns. We believe that solving for the DEA efficiency measure, simultaneously with other location modeling objectives, provides a promising rich approach to multiobjective location problems.