摘要
仓库货位合理规划与分配是减少产品存取时间、提高仓库作业效率的关键。在构建基于制造物联技术的智能仓库环境下,针对多品种智能仓库的货位分配问题,建立了考虑多规则约束的多目标智能仓库货位分配模型,提出了一种模型求解的改进遗传算法。实验表明,模型和算法能找到有效的仓库货位分配方案,验证了其有效性。
Reasonable warehouse storage planning and assignment is the key technology to reduce the product storage and retrieve time and improve warehouse operation efficiency.In the intelligent warehouse environment which was developed based on the technology of Internet of manufacturing things,to solve the problem of storage assignment at intelligent multi-product warehouse,this paper proposed a multi-objective intelligent warehouse storage assignment model with many constrain rules.Then it developed an improved genetic algorithm to solve the model.Experimental results show that the proposed model and the improved genetic algorithm can produce effective storage assignment schemes,and verify the effectiveness of the model.
作者
彭小利
郑林江
蒲国林
王海涛
Peng Xiaoli;Zheng Linjiang;Pu Guolin;Wang Haitao(School of Intelligent Manufacturing,Sichuan University of Arts&Science,Dazhou Sichuan 635000,China;College of Computer Science,Chongqing University,Chongqing 400030,China;Dazhou Industrial Technology Institute of Intelligent Manufacturing,Dazhou Sichuan 635000,China)
出处
《计算机应用研究》
CSCD
北大核心
2018年第1期24-30,34,共8页
Application Research of Computers
基金
国家自然科学基金资助项目(61203135)
国家"863"计划资助项目(2015AA015308)
中国博士后科学基金会资助项目(2014T70852)
基础研究经费中央高校资助项目(106112014CDJZR188801)
重庆市支持博士后科学基金项目(Xm201305)
四川省教育厅一般项目(15ZB0327
14ZB0307)
四川文理学院一般项目(2015TP002Y)
关键词
制造物联
智能仓库
货位分配
遗传算法
Internet of manufacturing things
intelligent warehouse
storage assignment
genetic algorithm(GA)
