In this study, we aimed to assess the solution quality for location-allocation problems from facilities generated by the software TransCAD®, a Geographic Information System for Transportation (GIS-T). Such facilities were obtained after using two routines together: Facility Location and Transportation Problem, when compared with optimal solutions from exact mathematical models, based on Mixed I...

Designing efficient urban fire service systems is of crucial importance as prompt responses to emergencies and accidents can drastically reduce property loss mortality. To achieve these goals, holistic location-allocation models for cooperative services must consider multiple factors, such station size, vehicle quantity, type, response time, reliability, traffic condition. This paper proposes a...

Malaysia has seen tremendous growth in the standard of living and household per capita income. The demand for a more systematic and efficient planning has become increasingly more important, one of the keys to achieving a high standard in healthcare. In this paper, a Maximal Covering Location Problem (MCLP) is used to study the healthcare facilities of one of the districts in Malaysia. We addre...

Two hierarchical location-allocation models are used to locate two types of communitybased health facilities in Davao City, Philippines. Oftentimes, locating health facilities are motivated by factors such as politics and resource availability. Different optimization approaches to locating a mix of these health facilities across the rural and urban areas of the city. Computations results are ev...

Facility location-allocation models are used in a widespread variety of applications to determine the number of required facility along with the relevant allocation process. In this paper, a new mathematical model for the capacitated multi-facility location-allocation problem with probabilistic customer's locations and fuzzy customer’s demands under the Hurwicz criterion is proposed. This model...

Three types of fuzzy random programming for capacitated location-allocation problem with fuzzy random demands are proposed according to different criteria, including the expected value model, chanceconstrained programming and dependent-chance programming. Finally, integrating the network simplex algorithm, fuzzy random simulation and genetic algorithm, a hybrid intelligent algorithm is produced...