Title :
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
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;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974343
