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
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;
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
DOI :
10.1109/ICCIE.2009.5223847