典型文献
Edge-cloud collaborative intelligent production scheduling based on digital twin
文献摘要：
With the application of various information technologies in smart manufacturing,new intelligent production mode puts forward higher demands for real-time and robustness of production scheduling.For the production scheduling problem in large-scale manufacturing environment,digital twin(DT)places high demand on data processing capability of the terminals.It requires both global prediction and real-time response abilities.In order to solve the above problem,a DT-based edge-cloud collaborative intelligent production scheduling(DTECCS)system was proposed,and the scheduling model and method were introduced.DT-based edge-cloud collaboration(ECC)can predict the production capacity of each workshop,reassemble customer orders,optimize the allocation of global manufacturing resources in the cloud,and carry out distributed scheduling on the edge-side to improve scheduling and tasks processing efficiency.In the production process,the DTECCS system adjusts scheduling strategies in real-time,responding to changes in production conditions and order fluctuations.Finally,simulation results show the effectiveness of DTECCS system.
文献关键词：
中图分类号：
作者姓名：
Han Yifan;Feng Tao;Liu Xiaokai;Xu Fangmin;Zhao Chenglin
作者机构：
School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China;China National Tendering Center of Mach.&Elec.Equipment,Beijing 100142,China;Beijing Smart-Iiot Technology Co.,Ltd.,Beijing 100144,China
文献出处：
引用格式：
[1]Han Yifan;Feng Tao;Liu Xiaokai;Xu Fangmin;Zhao Chenglin-.Edge-cloud collaborative intelligent production scheduling based on digital twin)[J].中国邮电高校学报（英文版）,2022(02):108-120
A类：
DTECCS,reassemble
B类：
Edge,cloud,collaborative,intelligent,production,scheduling,digital,twin,With,application,various,information,technologies,smart,manufacturing,new,puts,forward,higher,demands,real,robustness,For,problem,large,scale,environment,places,data,processing,capability,terminals,It,requires,both,global,prediction,response,abilities,In,solve,above,edge,system,was,proposed,model,method,were,introduced,collaboration,can,capacity,each,workshop,customer,orders,optimize,allocation,resources,carry,out,distributed,side,improve,tasks,efficiency,adjusts,strategies,responding,changes,conditions,fluctuations,Finally,simulation,results,show,effectiveness
AB值：
0.512915
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