Title :
A Research for Scheduling Model of Vehicles in Warehouses Based on Genetic Algorithm
Author :
Wang You-zhao ; Peng Yu-xiang ; Guo Xiao-xi
Author_Institution :
Coll. of Biomed. Eng. & Instrum. Sci., Zhejiang Univ., Hangzhou, China
Abstract :
According to the low-efficiency and high-cost situation of warehouses operation, which exists in logistics industry, this paper proposes a scheduling model of vehicles in warehouses based on genetic algorithm. The host PC can realize the scheduling of vehicles by genetic algorithm. And simulation confirms reliability and efficiency of scheduling. Experiments illustrate that this scheduling model efficiently saves the turnover time, and improves the utilization ratio of space as well.
Keywords :
genetic algorithms; logistics; reliability; scheduling; vehicles; warehousing; genetic algorithm; logistic industry; reliability; vehicle scheduling model; warehouse operation; Genetic algorithms; Job shop scheduling; Sociology; Statistics; Vehicles; Warehousing; Genetic algorithm; Logistics; Scheduling host; Scheduling model; Warehousing;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-3093-0
DOI :
10.1109/MINES.2012.41
