Title :
An Improved Branch and Bound Algorithm for Location-Routing Problems
Author :
Li, Jin ; Yunlong, Zhu ; Hai, Shen
Author_Institution :
Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
Abstract :
An important limitation of the fixed charge location model, is the assumption that full truckload quantities are shipped from a facility to a customer. In many contexts, shipments are made in less-than-truckload (LTL) quantities from a facility to customers along a multiple-stop route. The different location decision is made from the different cost of delivery. In this paper we are concerned with a particular type of facility location problem in which there exist two echelons of facilities. To make the location decision, the delivery cost of a multiple-stop route are calculated. We note that this is an NP-hard problem and use a Lagrangian relaxation-based branch and bound algorithm to solve this location-routing problem. We present numerical results for various size test problems. Results indicates the method is efficient.
Keywords :
facility location; goods distribution; optimisation; tree searching; Lagrangian relaxation; NP-hard problem; branch and bound algorithm; facility location problem; fixed charge location model; less-than-truckload quantities; location-routing problems; shipments; Application software; Computer applications; Computer networks; Constraint optimization; Costs; Lagrangian functions; Mathematical model; NP-hard problem; Routing; Vehicles;
Conference_Titel :
Computer Science-Technology and Applications, 2009. IFCSTA '09. International Forum on
Conference_Location :
Chongqing
Print_ISBN :
978-0-7695-3930-0
Electronic_ISBN :
978-1-4244-5423-5
DOI :
10.1109/IFCSTA.2009.21