Name
Abstract | ||
|---|---|---|
In modern logistics, multi-modal transport planning and vehicle routing represent two major problems. Within a supply chain, the first determines how to forward freight between different regions, while the second plans the local fleet of vehicles, both in order to minimize transport costs. These problems are significant for third- and/or fourth-party logistics. In practice, complex transport conditions such as on-time delivery, capacity (quantity/volume/weight) work regulation (time/break/makespan), transport mode, security and coupling constraints may lead to computational challenges for the optimization engine. |
Year | Venue | Field |
|---|---|---|
2007 | ERCIM NEWS | Graphics,Data mining,Heuristic,Vehicle routing problem,Job shop scheduling,Software engineering,Computer science,Production planning,Artificial intelligence,Solver,Transportation planning,Debugging |
DocType | Volume | Issue |
Journal | 2007 | 68 |
ISSN | Citations | PageRank |
0926-4981 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianyang Zhou | 1 | 9 | 2.39 |
| Jianyi Zhou | 2 | 11 | 2.90 |
| Jiande Zhou | 3 | 0 | 0.34 |
| Yann Courtet | 4 | 0 | 0.34 |
| Weiping Wu | 5 | 9 | 1.41 |
| Hua Ni | 6 | 0 | 0.34 |