The Linehaul-Feeder Vehicle Routing Problem With Virtual Depots

被引:17
作者
Chen, Huey-Kuo [1 ]
Chou, Huey-Wen [1 ]
Hsueh, Che-Fu [2 ]
Ho, Tsung-Yu [3 ]
机构
[1] Natl Cent Univ, Jhongli 32001, Taiwan
[2] Ching Yun Univ, Jhongli 32097, Taiwan
[3] Taipei City Govt, Taipei 11008, Taiwan
关键词
Cost-sharing method; logistics; threshold method; vehicle routing problem (VRP); virtual depot (VD); HUB-AND-SPOKE; NETWORK DESIGN; CROSS-DOCKING; TRUCK; SELECTION; DELIVERY; SYSTEMS;
D O I
10.1109/TASE.2011.2142304
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem addressed in this paper-the linehaul- feeder vehicle routing problem with virtual depots (LFVRP-VD)-can be regarded as an extension of the vehicle routing problem. During delivery operation, one large vehicle departs from the physical depot (PD) and services all virtual depots (VDs). A set of small vehicles delivers to customers and, if necessary, reloads either from the PD or from the large vehicle at a VD before continuing work. The objective of the operation is to minimize the total travel and waiting costs for all vehicles. Two heuristics that embed the cost-sharing method and the threshold method are proposed for initial solution construction. Seventeen test problems are extensively examined. The results show that the cost-sharing method outperforms the threshold method in terms of several selected performance measures. In addition, the more candidates available a VD can choose, the better the obtained objective value. Note to Practitioners-Linehaul-feeder vehicle routing problem with virtual depots is practical to the logistics and transportation companies, especially in the urban area where local streets are too narrow or large vehicles are not allowed to enter. Note that the higher the customer demands, the better the benefit of the LFVRP-VD.
引用
收藏
页码:694 / 704
页数:11
相关论文
共 20 条
[1]  
Bodin L., 2000, SCHEDULING LOCAL DEL, P419
[2]   Vehicle routing problem with time windows, part 1:: Route construction and local search algorithms [J].
Bräysy, I ;
Gendreau, M .
TRANSPORTATION SCIENCE, 2005, 39 (01) :104-118
[3]  
Campbell A., 1997, DAAH0494G0017 US ARM
[4]  
Chang Y, 2006, THESIS CHUNG HUA U H
[5]   A tabu search method for the truck and trailer routing problem [J].
Chao, IM .
COMPUTERS & OPERATIONS RESEARCH, 2002, 29 (01) :33-51
[6]   The real-time time-dependent vehicle routing problem [J].
Chen, Huey-Kuo ;
Hsueh, Che-Fu ;
Chang, Mei-Shiang .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2006, 42 (05) :383-408
[7]   A genetic algorithm for the problem of configuring a hub-and-spoke network for a LTL trucking company in Brazil [J].
Cunha, Claudio B. ;
Silva, Marcos Roberto .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2007, 179 (03) :747-758
[8]   Hub-and-spoke network design with congestion [J].
Elhedhli, S ;
Hu, FXL .
COMPUTERS & OPERATIONS RESEARCH, 2005, 32 (06) :1615-1632
[9]   Routing, ship size, and sailing frequency decision-making for a maritime hub-and-spoke container network [J].
Hsu, Chaug-Ing ;
Hsieh, Yu-Ping .
MATHEMATICAL AND COMPUTER MODELLING, 2007, 45 (7-8) :899-916
[10]   The European freight railway system as a hub-and-spoke network [J].
Jeong, Seung-Ju ;
Lee, Chi-Guhn ;
Bookbinder, James H. .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2007, 41 (06) :523-536