摘要
以某自动化立体仓库的生产过程为研究对象,为提高立体仓库的生产效率,利用数字孪生技术和人工智能优化算法,对立体仓库的入库、送检、回库、出库进行调度优化.提出了基于工期最短的立体仓库的调度优化模型,研究了该模型的人工智能算法的实现过程,并对算法的核心公式进行改进、重设计,最后编程求解.仿真结果表明:优先完成送检任务,是缩短工期的有效手段.该结果可为立库调度设计提供理论支持,并提高立库生产效率.
The production process of an automatic three-dimensional warehouse is taken as the research object,in order to improve the production efficiency of three-dimensional warehouse,the scheduling optimization of warehousing,inspection,return and delivery of three-dimensional warehouse is carried out by using digital twin technology and artificial intelligence optimization algorithm.The scheduling optimization model of three-dimensional warehouse based on the shortest construction period is proposed,then the implementation process of artificial intelligence algorithm of the model is studied,solved by programming.The simulation results show that giving priority to completing the inspection task is an effective means to shorten the construction period.The results can provide theoretical support for warehouse scheduling design and improve the production efficiency of warehouse.
作者
李兵
申洪涛
郭荣坤
王毅
李翀
杨华
LI Bing;SHEN Hongtao;GUO Rongkun;WANG Yi;LI Chong;YANG Hua(State Grid Hebei Marketing Service Center,Shijiazhuang 050000,China;School of Mathematics and Computer,Wuhan Polytechnic University,Wuhan 430023,China)
出处
《中南民族大学学报(自然科学版)》
CAS
北大核心
2022年第6期720-727,共8页
Journal of South-Central University for Nationalities:Natural Science Edition
基金
国家自然科学基金资助项目(61179032)
湖北省教学研究资助项目(2018368)
教育部产学合作育人资助项目(202101130033)
武汉轻工大学教学研究资助项目(XM2021015)。
关键词
生产调度
智能优化算法
最短工期
production scheduling
intelligent optimization algorithm
shortest construction period