Continuous Location of Multi-distribution Centers of Urgent Goods Based on Maximum Service Level and Its Genetic Algorithm

Author

Guang-yan, Lu ; Jing-cheng, Gao ; Xi-jun, Ma

Author_Institution

Inst. of Comput. Network Syst., Hefei Univ. of Technol., Hefei

Volume

3

fYear

2008

fDate

19-21 Dec. 2008

Firstpage

86

Lastpage

89

Abstract

The location of multi-distribution centers is an NP-hard problem. For some urgent goods, the method of locating the distribution centers in terms of minimizing transportation costs sometimes cannot satisfy the needs of customers. Considering the maximization of service level as the objective to locate the centers, we construct a mathematical model and design a genetic algorithm of optimization to solve the model. The simulation in a numerical example shows that the constructed model and the designed algorithm are effective and feasible to solve the problem of locating the centers according to the maximization of service level for some urgent goods.

Keywords

genetic algorithms; goods distribution; minimisation; NP-hard problems; genetic algorithm; maximum service level; multidistribution centers continuous location; transportation costs minimization; Algorithm design and analysis; Costs; Distributed control; Genetic algorithms; Information management; Innovation management; Logistics; Mathematical model; Mathematics; Transportation; continuous location; genetic algorithm; maximum service level; multi-distribution centers; urgent goods;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management, Innovation Management and Industrial Engineering, 2008. ICIII '08. International Conference on

Conference_Location

Taipei

Print_ISBN

978-0-7695-3435-0

Type

conf

DOI

10.1109/ICIII.2008.163

Filename

4737733