摘要
针对智慧仓库的仓储机器人配置问题,构建了基于排队论的离散事件仿真模型,在保证系统可靠性和服务强度的前提下,考虑到故障对系统的影响,以距离成本、时间成本、空闲成本和购置成本所构成的总成本最小化为目标,提出了一种基于FlexSim平台的离散事件仿真优化方法。通过分析系统平均队长、订单平均逗留时间等指标,将直观化的系统瓶颈与运行实际数据相结合,求得系统成本最小的配置策略。结合实例,对算例中的智慧仓库机器人配置方案进行求解。结果表明,基于Flex Sim平台的离散事件仿真寻优方法,能够求解仓储机器人配置的优化方案,并能保证模型方法的计算效率。
Aiming at the intelligent warehouse storage robot configuration,a discrete event simulation model based on queuing theory is constructed.Considering the influence of faults and the reliability and service intensity of the system,aiming at minimizing the total cost of distance cost,time cost,idle cost and purchase cost,a based on FlexSim simulation model is proposed.Discrete event simulation optimization method of the platform.By analyzing the system average team length,order average stay time and other indicators,the intuitionistic bottleneck of the system is combined with the actual operation data,and the configuration strategy of minimum system cost is obtained.The configuration scheme of intelligent warehouse robot of the example is solved.The results show that the optimization method can solve the optimization scheme of storage robot configuration and ensure the calculation efficiency of the model method.
作者
郭笛
谢旦岚
纪媛
Guo Di;Xie Danlan;Ji Yuan(Dalian Neusoft University of Information,Dalian 116023,China;Dalian Maritime University,Dalian 116020,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2020年第10期2066-2072,共7页
Journal of System Simulation
基金
大连市社科联一般课题(2019dlskyb213)。
