DocumentCode :
1653391
Title :
Multi-trip vehicle routing and scheduling problems
Author :
Chang, Tsung-Sheng ; Wang, Sian-Da
Author_Institution :
GSLM, Nat. Dong Hwa Univ., Hualien, Taiwan
fYear :
2010
Firstpage :
1
Lastpage :
6
Abstract :
This research is inspired by a variety of transportation industries´ problem of letting vehicles make more than one trip each day to effectively use their resources. This study defines the problem as the multi-trip vehicle routing and scheduling problem (MTVRSP). The objectives of the MTVRSP are to minimize first the number of vehicles and then the total travel time by allowing vehicles to make multiple trips during a planning period, while satisfying not only the constraints to the basic vehicle routing problem but also delivery time windows. Despite its practical importance, there exist very few the MTVRSP-related studies in the literature. The MTVRSP is NP-hard; therefore, the objectives of this research are to first model the problem and then develop an efficient and effective heuristic solution algorithm to the problem. Empirical testing is used to evaluate the effectiveness of the solution algorithm.
Keywords :
computational complexity; planning; scheduling; transportation; NP-hard; delivery time windows; multitrip vehicle routing; planning period; scheduling problem; transportation industry problem; vehicle total travel time; Artificial neural networks; Clustering algorithms; Heuristic algorithms; Job shop scheduling; Merging; Routing; Vehicles; multiple trips; time windows; vehicle routing problems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers and Industrial Engineering (CIE), 2010 40th International Conference on
Conference_Location :
Awaji
Print_ISBN :
978-1-4244-7295-6
Type :
conf
DOI :
10.1109/ICCIE.2010.5668326
Filename :
5668326
Link To Document :
بازگشت