铁道科学与工程学报2016，Vol.13Issue(11)：2305-2312,8.
基于遗传算法的汽车零配件仓库货位优化研究
The research on auto parts warehouse slotting opti mization based on genetic algorith m
侯忠 1郑国华1
作者信息
- 1. 中南大学 交通运输工程学院，湖南 长沙410075
- 折叠
摘要
Abstract
Warehouse Slotting optimization is an important part of warehouse managements.In this paper,the type of accessories for auto goods,warehousing large frequencies,time needs and the number of the randomness of demand characteristics,the goods allocation and optimization problems of the auto parts library package were discussed.On the basis of the library explicitly cargo accessories of Slotting Optimization,slotting optimization mathematical model was established and the multi-objectives were added into a single objective programming problem.Finally,this multi-objective programming model was converted into a single objective programming model,and a genetic algorithm to solve this model was chosen.The results show that using this optimization strat-egy can effectively solve the auto package goods position optimization allocation problem.关键词
仓储管理/货位优化/遗传算法/汽车配件Key words
warehouse management/slotting optimization/genetic algorithm/auto parts分类
管理科学引用本文复制引用
侯忠,郑国华..基于遗传算法的汽车零配件仓库货位优化研究[J].铁道科学与工程学报,2016,13(11):2305-2312,8.
