Geographic Information System Based Solution for Location Allocation Problem for Finding High Quality Service Locations
Abstract
Location-Allocation Problem (LAP) is a combinatorial optimising network problem which has been widely studied by operational researchers due to its many practical applications. In real life, it is usually very hard to present the customer’s demands in a precise way and thus they are estimated from historical data. There are so many types of the methods like exact, heuristic and metaheuristic methods to solve this problem to get the optimal and near optimal solutions. In this study, a metaheuristic approach is applied in GIS environment which gives quick and near optimal solution. To achieve this, one case study based on supply and demand of milk from Vita Distributors to Vita Booths in Hisar City, Haryana have been performed. In this study, the effectiveness and robustness of the metaheuristic algorithm was tested over a GIS geodatabase based network dataset consisting of road network (line features) and facility and customers locations (point features). The performance of the algorithm was also checked for two types of impedance factors i.e. time and distance. The results of this location-allocation problem are very much satisfactory in term of minimization of total transportation cost in providing high quality service locations (Vita Booths) for milk distribution.
Keywords
Refbacks
- There are currently no refbacks.


This work is licensed under a Creative Commons Attribution 3.0 License.
*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)