Designing four multi-objective models for dispersion facilities location problems considering Data Envelopment Analysis and maximum covering

摘要

Dispersion facilities location problem is one of the facility location problems. Possible applications include the location of shops and service-stations (for minimizing competition among them), the location of transceivers (for minimizing interference among them), and the location of undesirable facilities. Four different models of dispersion exist. In this paper we develop four different dispersion facilities location modeling formulations that utilize simultaneous data envelopment analysis (SDEA) efficiency measures to find optimal and efficient facility location patterns, and maximize total demands of satisfied demand points. Also these models consider existing facilities. These models with three objectives, match the real world problems a lot. Since these four models are multiobjective, a fuzzy goal programming approach was applied to solve problem. In this paper, after introducing the proposed model, an example, with the results of numerical calculations is provided.