Hybrid Self Adaptive Particle Swarm Optimization (SAVPSO) – Cooper Heuristic for Facility Location Allocation Problem in Jakarta Area
| Autor: | Moh. Taufiq Budi Hanyata |
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| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 This research is a case study of X Logistic Company which has an intention to build a new depot in Jakarta. The depot must be located in the industrial and warehousing area, others are considered as forbidden regions. The objective of this research is obtained information about the number of depots should be opened between the location in industrial and warehousing area, and the number of customers that can serve from the depot. Continuous uncapacitated location allocation model is proposed in this research to solve the problem which has many bounded polygonal zone as the constraints. This research used random data uniform distribution as a demand in three scenarios to test the performance of the proposed algorithm. In the case study, this research examines the current location set of all depot location X logistic that deploy logistic service in urban area, Jakarta, Indonesia. Hybrid Self Adaptive Velocity Particle Swarm Optimization (SAVPSO) and Cooper Heuristic is proposed as metaheuristic approach. Numerical results shown that the proposed methodology can handle the bounded polygonal zone constraints, and generate optimal solutions. In the real case study of X Logistic Company, the number of new facilities should be opened, is two depots. This research obtain the coordinate location new depots, and which customers will be served, and a comparison will be conducted of analyzing the total cost with number of depot. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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