International Development, Community, and Environment
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. © 2006 Elsevier Ltd. All rights reserved.
Computers and Operations Research
Klimberg, Ronald K. and Ratick, Samuel J., "Modeling Data Envelopment Analysis (DEA) Efficient Location/Allocation Decisions" (2008). International Development, Community, and Environment. 473.
This is a working paper version.