摘要
为了保证货物进出,航空货运站中会采用货位共用模式的自动化立体仓库存储散装货物。货位优化对提升该模式立库的工作效率,进而保证机场货运站整体效率有着重要意义。在详细分析该立库的工作特点基础之上,建立数学模型,采用遗传算法对货位优化问题进行了研究。仿真和实际现场应用结果表明该算法有效地提高了货物进出库的工作效率和存储安全性。
In order to ensure input and output of goods, an automated stereoscopic warehouse with a shelf share structure will be used in air cargo station for bulk storage of goods. Slotting optimization is of great Significance to improve the efficiency of the warehouse and to ensure the overall efficiency of the airport cargo terminal. Based on the detailed analysis of the working characteristics of the warehouse, a mathematic model is established, and the genetic algorithm is used to optimize the slotting optimization. The results of simulation and practical application show that the algorithm can effectively improve the work efficiency and storage security.
出处
《计算机应用与软件》
2017年第7期262-266,272,共6页
Computer Applications and Software
基金
甘肃省自然科学基金项目(1208RJZA292)
兰州市科技计划资助基金项目(2013-4-18)
关键词
自动化立体仓库
货位优化
遗传算法
Automated stereoscopic warehouse Slotting optimization Genetic algorithm
