Title :
Routing Problem for Hybrid Hub-and-spoke Transportation Network: a Case Study of a LTL Carrier
Author :
Zhang, Jian ; Wu, Yaohua ; Liu, Pei
Author_Institution :
Shandong Univ. Jinan, Jinan
Abstract :
Hub-and-spoke transportation network can help Less-Than-TruckLoad carriers lower their total costs by consolidation transportation. In many cases, hybrid hub-and-spoke systems with some direct routes can be more cost-effective than pure ones. By means of analyzing a real case, this paper develops new mathematical models for a hybrid hub-and-spoke system, solving them using genetic algorithm with some strategies to determine vehicle types. At last, an average cost reduction of 2.68% is given and an optimal route planning result which forms a hybrid hub-and-spoke transportation network is described.
Keywords :
genetic algorithms; transportation; vehicles; LTL carrier; Less-Than-TruckLoad carriers; genetic algorithm; hybrid hub-and-spoke transportation network; optimal route planning; routing problem; vehicle types; Algorithm design and analysis; Automation; Cities and towns; Cost function; Genetic algorithms; Logistics; Mathematical model; Road transportation; Routing; Vehicles; Genetic Algorithm; Hub-and-spoke System; Less-Than-TruckLoad; Network Optimization;
Conference_Titel :
Automation and Logistics, 2007 IEEE International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-1531-1
DOI :
10.1109/ICAL.2007.4338551
