DocumentCode
2830120
Title
A Decision Support System for Supply Chain Management Based on PSO and GIS
Author
Lei, Jian-Jun ; Li, Jian
Author_Institution
Dept. of Comput. Sci. & Eng., Hubei Univ. of Educ., Wuhan, China
fYear
2009
fDate
11-12 July 2009
Firstpage
58
Lastpage
61
Abstract
A decision support system to solve the multi-depot vehicle routing problems with fixed distribution of vehicles (MDVRPFD) is introduced. In the system, the data of the customers, the suppliers, and the topologies of the roads are stored and managed by the geographic information system (GIS), and a modified genetic particle swarm optimization method (MGPSO) is employed to provide the routings of the vehicles. In the MPSO, the two-stage approach is employed which decomposes the MDVRPFD into two independent sub problems, viz., assignment and routing, and solves them separately. The system has been implemented to a practical supply chain management system and provided decision supports for both vehicles routing and decision-making on depots distributing. The simulation results have shown the feasibility and effectiveness of the system.
Keywords
decision support systems; geographic information systems; goods distribution; particle swarm optimisation; production engineering computing; supply chain management; transportation; GIS; PSO; decision support system; decision-making; geographic information system; modified genetic particle swarm optimization method; multidepot vehicle routing problems; supply chain management; vehicles fixed distribution; Automotive engineering; Decision support systems; Genetics; Geographic Information Systems; Particle swarm optimization; Roads; Routing; Supply chain management; Topology; Vehicles; Vehicle routing; particle swarm optimization; supply chain management;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
Conference_Location
Zhangjiajie
Print_ISBN
978-0-7695-3728-3
Type
conf
DOI
10.1109/CASE.2009.55
Filename
5194390
Link To Document