Name
Abstract | ||
|---|---|---|
Grain logistics Vehicle Routing Problem (VRP) is the one of important problems in the research fields of grain logistics, which represents a problem of finding the optimal route used by a group of vehicles when serving a group of required grain depots. In this paper, we present a Decision Support System (DSS), which help decision-makers to carry out duties. To be most effective, a DSS should be integrated with a geographic information system (GIS), which provides analysis for the problems that helps users of the DSS to visualize the situation. In the system, the data of the required depots, the depot center, and the topologies of the roads are stored and managed by GIS, and a particle swarm optimization method (PSO) is employed to provide the routings of the vehicles. The prototype system has illustrated the effectiveness and feasibility of the DSS using real-world data and showed potentials for grain logistics VRP. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-14922-1_70 | ICIC (1) |
Keywords | Field | DocType |
grain logistics vehicle,real-world data,grain logistics vehicle routing,decision support system,required depot,grain logistics vrp,depot center,geographic information system,prototype system,required grain depot,decision support,grain logistics,vehicle routing problem,decision maker,gis | Particle swarm optimization,Geographic information system,Vehicle routing problem,Simulation,Computer science,Decision support system,Operations research,Network topology,Artificial intelligence,Machine learning | Conference |
Volume | ISSN | ISBN |
6215 | 0302-9743 | 3-642-14921-9 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhanbiao Bao | 1 | 0 | 0.34 |
| Jianjun Wu | 2 | 0 | 0.34 |
| Tong Zhen | 3 | 6 | 3.26 |
| Hongyi Ge | 4 | 2 | 0.75 |