Combine cost and time satisfaction into a multi-objective programming for integrated logistics system

Author

Deng, Shuai ; Li, Yanhui ; Yao, Lan

Author_Institution

Dept. of Inf. Manage., Huazhong Normal Univ., Wuhan, China

fYear

2011

fDate

27-29 June 2011

Firstpage

283

Lastpage

287

Abstract

This paper focuses on the optimization of location inventory routing problem (LIRP) taking the retailers´ customer time satisfaction degree into account. Based on the model of LIRP, a multi-objective programming model of LIRP which accounting to customer time satisfaction degree is built. Then an improved genetic algorithm is introduced to solve the model. Finally, a set of computational experiments are conducted, the results show that the model is suitable and the method is available.

Keywords

customer satisfaction; facility location; genetic algorithms; inventory management; logistics; retailing; transportation; LIRP optimization; cost satisfaction; customer time satisfaction degree; genetic algorithm; integrated logistics system; location inventory routing problem optimization; multiobjective programming model; retailer; Biological cells; Customer satisfaction; Genetic algorithms; Routing; Supply chains; Vehicles; customer satisfaction; genetic algorithm; location inventory routing problem; time factor;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Service System (CSSS), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9762-1

Type

conf

DOI

10.1109/CSSS.2011.5974343

Filename

5974343