| Title |
The Research on Related Scheduling Model and Algorithm for Logistics Matching Problem |
| ID_Doc |
71621 |
| Authors |
Ting, D; Feng, JZ |
| Title |
The Research on Related Scheduling Model and Algorithm for Logistics Matching Problem |
| Year |
2015 |
| Published |
|
| DOI |
|
| Abstract |
The rapid development of business activities to accelerate the development of logistics industry. As the global economy and the advancement of electronic business logistics costs in the proportion of the whole cost is more and more big, the effectiveness of the logistics problems have become more and more prominent. As information technology, communication technology and the development of artificial intelligence technology, fully tap existing logistics resources potential, improve logistics resource utilization, conform to the requirements of the current development. Detail in this paper, the logistics in the matching problem of vehicle scheduling problem is studied, and effective integration of vehicle transportation, goods and transport resources effectively, make full use of limited resources of vehicles, improve the quality of service, cost savings, reduce the energy consumption and reducing exhaust gas pollution, achieve the sustainable development of social and economic benefits. |
| Author Keywords |
Scheduling Model; Logistics Matching; Multi Depots Vehicle |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000359441300355 |
| WoS Category |
Automation & Control Systems; Computer Science, Artificial Intelligence; Engineering, Manufacturing |
| Research Area |
Automation & Control Systems; Computer Science; Engineering |
| PDF |
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