Use of the Discrete Facility Location Model in Optimizing the Number and Location of Fire Stations: A Case Study

This article discusses the application of discrete facility location model in optimizing the number and location of fire stations in Pekanbaru City. This quantitative model uses three basic discrete facility location models: the location set covering problem (LSCP), maximum covering location problem and the p-median problem. The mathematical model in this problem is solved using the LINGO 18.0. Computational results show that this discrete facility location model can determine the minimum number of fire stations, location of fire stations, maximum fire stations services and the allocation of each subdistrict to the fire stations