摘要
仓库货位优化问题是仓储管理的重要内容之一。针对配件库汽配货物种类繁多、出入库频率差异较大、需求时间与需求数量具有随机性等特点,对配件库汽配件货物的货位分配与优化问题进行讨论,在明确库内配件货物货位优化思路的基础上,建立基于货位优化的多目标规划模型。最后将此多目标规划模型转化成单目标规划模型,并设计求解此模型的遗传算法。实例结果表明:采用此优化策略能够有效地解决汽配件货物的货位优化分配问题。
Warehouse Slotting optimization is an important part of warehouse managements. In this paper, thetype of accessories for auto goods, warehousing large frequencies, time needs and the number of the randomnessof demand characteristics, the goods allocation and optimization problems of the auto parts library package werediscussed. On the basis of the library explicitly cargo accessories of Slotting Optimization, slotting optimizationmathematical model was established and the multi-objectives were added into a single objective programmingproblem. Finally, this multi-objective programming model was converted into a single objective programmingmodel, 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.
出处
《铁道科学与工程学报》
CAS
CSCD
北大核心
2016年第11期2305-2312,共8页
Journal of Railway Science and Engineering
关键词
仓储管理
货位优化
遗传算法
汽车配件
warehouse management
slotting optimization
genetic algorithm
auto parts
