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中文摘要：
内外环境变化时进行自动化立体仓库货位优化十分必要与重要。本文构建了以医药为例，考虑自动化立体仓库货物移动前后的相关数据能有效记录，以及货物出入库效率高，相似货物摆放一起，货物移动距离最短三个因素的基于时间的货位优化多目标模型，通过对算例采取遗传算法的结果显示：本文方法能有效实现自动化立体仓库货位优化，优化前后数据记录能有效进入仓储自动管理环节，是降低仓储管理成本、提高仓储管理效率与效益的有效方法与途径。
英文摘要：
Changes of internal and external environment make slotting optimization to automated warehouse very necessary and important. Among slotting optimization study, there is not a valid distinction between the characteristics of automated warehouse cargo space and storage spaces,and there is a lack of the establishment of dynamic optimization model analysis before and after cargo space moving. Using the data before and after the movement that can record, considering three elements：improring the efficiency of the goods moving into and out of the warehouse, storing related products together, decreasing transportation time of moving products in the process of slotting optimization, a multi-objective model is put forth in this paper based on time. The simulation results of example solved by genetic algorithm using matlab show that this method can effectively achieve slotting optimization, recorded data before and after optimization can be effectively saved into the automated warehouse management system, and slotting optimization is an effective way to automated warehouse to reduce storage management costs, improve inventory management efficiency and effectiveness.
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