Flow Merging and Hub Route Optimization in Collaborative Transportation
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-04
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper studies the optimal hub routing problem of merged tasks in collaborative transportation.
This problem allows all carriers’ transportation tasks to reach the destinations optionally passing through 0, 1, or 2 hubs within limited distance, while a cost discount on arcs in the hub route could be acquired after paying fixed charges.
The problem arises in the application of logistics, postal services, airline transportation, and so forth.
We formulate the problem as a mixed-integer programming model, and provide two heuristic approaches, respectively, based on Lagrangian relaxation and Benders decomposition.
Computational experiments show that the algorithms work well.
American Psychological Association (APA)
Weng, Kerui& Xu, Zi-hao. 2014. Flow Merging and Hub Route Optimization in Collaborative Transportation. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-485860
Modern Language Association (MLA)
Weng, Kerui& Xu, Zi-hao. Flow Merging and Hub Route Optimization in Collaborative Transportation. Journal of Applied Mathematics No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-485860
American Medical Association (AMA)
Weng, Kerui& Xu, Zi-hao. Flow Merging and Hub Route Optimization in Collaborative Transportation. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-485860
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485860