DocumentCode :
1653490
Title :
A Real Case of Routing Design for Less-Than-Truckload Motor Carriers Using Genetic Algorithm
Author :
Jian, Zhang ; Yaohua, Wu ; Jingbo, Wang
Author_Institution :
Shandong Univ., Jinan
fYear :
2007
Firstpage :
498
Lastpage :
501
Abstract :
How to minimize costs while maintaining a certain level of service is the main concern for most less-than-truckload motor carriers. Hence it is needed to consolidate flows of small shipments and to determine all routes for a fleet of vehicles. In this paper, we proposed a model to describe the routing problem of a real LTL carrier to minimize the long-haul cost with constraints of service time, capacities of different vehicles and management rules. And this paper solved this problem with genetic algorithm and gave the final results using real data of a company in Shandong province, China.
Keywords :
distribution strategy; genetic algorithms; vehicles; cost minimization; genetic algorithm; less-than-truckload motor carriers; routing design; shipment flows; Algorithm design and analysis; Costs; Frequency; Genetic algorithms; Logistics; Road transportation; Routing; Time factors; Vehicles; Genetic Algorithm; Less-Than-Truckload; Real Case; Vehicle Routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4347435
Filename :
4347435
Link To Document :
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