Location-Routing-Inventory Problem with Stochastic Demand in Logistics Distribution Systems

Author

Bo Zhang ; Zujun Ma ; Sai Jiang

Author_Institution

Coll. of Logistics, Southwest Jiaotong Univ., Chengdu

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

Location-routing-inventory problem (LRIP) involves the decisions of three key problems in optimizing a logistics system, i.e. facility location-allocation, vehicle routing, and inventory control. In this paper, a model for the multi-period, multi-depot LRIP with stochastic customer demand in logistics distribution systems is developed. And a mixed genetic algorithm is proposed to solve the model. Finally, the validity of the model and algorithm are demonstrated by a numerical example.

Keywords

genetic algorithms; goods distribution; logistics; stochastic processes; stock control; facility location-allocation; inventory control; location-routing-inventory problem; logistics distribution system; mixed genetic algorithm; stochastic customer demand; vehicle routing; Educational institutions; Genetic algorithms; Inventory control; Logistics; Mathematical model; Routing; Simulated annealing; Stochastic systems; Vehicles; Warehousing;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.1547

Filename

4679455