论文部分内容阅读
为解决目前办理银行业务顾客等候时间过长的问题,构建了基于Agent的排队系统仿真模型。通过将顾客、排队机、服务台和自动柜员机等抽象为不同的Agent以及不同Agent之间的交互仿真了银行业务排队系统的运行。模型中给出了一种服务队列动态调整的算法,在netlogo平台上进行了模型建立和算法实现。实验数据和分析显示,此模型真实地模拟了银行排队系统运行,合理利用了现有资源,减少了顾客平均等待时间,提升了顾客满意度。
In order to solve the problem that the current waiting time for bank customers is too long, an agent-based queuing system simulation model is constructed. The operation of the banking queuing system is simulated by abstracting customers, queuing machines, service desks and ATMs into different agents and interacting with different agents. In the model, a service queue dynamic adjustment algorithm is given. The model and algorithm are implemented on netlogo platform. The experimental data and analysis show that this model truly simulates the operation of bank queuing system, makes rational use of existing resources, reduces the average waiting time of customers and improves customer satisfaction.