摘要
以上海医药物流中心仓库为研究对象,为其仓库货位优化系统建立一个有效的多目标优化数学模型。并引入“类聚”的方法来解决同一产品族的货物临近放置的问题。最后,应用多目标遗传算法进行货位优化。
Based on the slotting optimization system of Shanghai Pharmaceutical Logistics, the paper establishes a multi-object mathematical model for slotting optimization, introduces a new method to solve how to put a product family together and at last, it applies multi-object genetic algorithm in slotting optimization.
出处
《物流技术》
2006年第6期33-34,46,共3页
Logistics Technology
关键词
物流中心
货位优化
多目标优化
数学模型
遗传算法
logistics center
slotting optimization
muhi-object optimization
mathematical model
genetic algorithm
