DocumentCode
3155070
Title
Mathematical model and solution approach for collaborative logistics in less than truckload (LTL) transportation
Author
Dai, Bo ; Chen, Haoxun
Author_Institution
Ind. Syst. Optimization Lab., Univ. of Technol. of Troyes, Troyes, France
fYear
2009
fDate
6-9 July 2009
Firstpage
767
Lastpage
772
Abstract
Collaborative logistics is achieved when two or more carriers or shippers form partnerships to optimize their transportation operations by sharing vehicle capacities and delivery tasks in order to cut empty back hauls and to increase vehicle utilization rate. This paper studies collaborative logistics in less than truckload transportation and develops a general mathematical model and a Lagrangian relaxation approach to solve this problem. From the model´s optimal solution, a set of feasible vehicle tours corresponding to the transportation operations in collaborative logistics can be constructed. The model is suitable for both shipper collaboration and carrier collaboration. Furthermore, ten randomly generated examples are tested to demonstrate the validity of our proposed model and solution approach.
Keywords
groupware; logistics; mathematical analysis; transportation; vehicles; LTL transportation; Lagrangian relaxation approach; back haul; carrier collaboration; collaborative logistic; delivery task sharing; less than truckload transportation; mathematical model; shipper collaboration; vehicle capacity sharing; vehicle tour set; vehicle utilization rate; Collaboration; Costs; Lagrangian functions; Logistics; Mathematical model; Road transportation; Routing; Shipbuilding industry; Testing; Vehicles; Lagrangian relaxation; collaborative logistics; collaborative transportation management; less than truckload; modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location
Troyes
Print_ISBN
978-1-4244-4135-8
Electronic_ISBN
978-1-4244-4136-5
Type
conf
DOI
10.1109/ICCIE.2009.5223847
Filename
5223847
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