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

fYear

2007

fDate

18-21 Aug. 2007

Firstpage

170

Lastpage

175

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2007 IEEE International Conference on

Conference_Location

Jinan

Print_ISBN

978-1-4244-1531-1

Type

conf

DOI

10.1109/ICAL.2007.4338551

Filename

4338551