Research on Reverse Logistics Distribution Centre Location Problem in E-Business

Author

Lan, Liu ; Huacheng, Xue ; Xia, Wang

Author_Institution

Inf. Manage. & Technol. Inst., Shanghai Univ. of Finance & Econ., Shanghai, China

fYear

2010

fDate

10-12 Nov. 2010

Firstpage

501

Lastpage

504

Abstract

With the development of E-business, reverse logistics become the important problem in enterprises, they can increase service quality and enterprises profit by improving reverse logistics system. In this compete environment, how to build an effective reverse logistics system and make a proper plan for the distribution centre location has become a challenge. This paper proposed a model based on 0-1 MILP arithmetic to resolve the distribution centre location problem of reverse logistics, and using the genetic algorithm to obtain several feasible projects, and evaluate these projects to make optimization in fuzzy algorithm.

Keywords

electronic commerce; facility location; fuzzy set theory; genetic algorithms; linear programming; logistics data processing; reverse logistics; 0-1 MILP arithmetic; distribution centre location problem; e-business; enterprise profit; fuzzy algorithm; genetic algorithm; optimization; reverse logistics; service quality; Algorithm design and analysis; Biological system modeling; Linear programming; Optimization; Recycling; Reverse logistics; Transportation; E-business; Fuzzy Algorithm; Genetic Algorithm; Location Problem; MILP; Reverse Logistics;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Business Engineering (ICEBE), 2010 IEEE 7th International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-8386-0

Electronic_ISBN

978-0-7695-4227-0

Type

conf

DOI

10.1109/ICEBE.2010.16

Filename

5704306