文章在经典优先级模型的基础之上,引入灵活抢占策略,研究不同优先级顾客在该策略下的平均逗留时间、服务人数等服务指标变化情况。研究表明,在本文的应用场景假设和搭建的仿真模型中,按照所设置的仿真参数值可以准确计算出三种负载场景...文章在经典优先级模型的基础之上,引入灵活抢占策略,研究不同优先级顾客在该策略下的平均逗留时间、服务人数等服务指标变化情况。研究表明,在本文的应用场景假设和搭建的仿真模型中,按照所设置的仿真参数值可以准确计算出三种负载场景下两类顾客的指标变化情况,并根据抢占阈值的研究确定不同负载场景下的阈值选择。这也有助于企业在实际运营中的策略选择,为其以往的经验化决策提供支持。Based on the classic priority model, this paper introduces a flexible preemption strategy to study the changes in service indicators such as average stay time and number of customers with different priorities under this strategy. The research shows that in the application scenario hypothesis and simulation model built in this paper, the index changes of two types of customers under three load scenarios can be accurately calculated according to the simulation parameter values set, and the threshold selection under different load scenarios can be determined according to the study of preemption threshold. This also helps enterprises in the actual operation of the strategy choice, providing support for their past empirical decisions.展开更多
文摘文章在经典优先级模型的基础之上,引入灵活抢占策略,研究不同优先级顾客在该策略下的平均逗留时间、服务人数等服务指标变化情况。研究表明,在本文的应用场景假设和搭建的仿真模型中,按照所设置的仿真参数值可以准确计算出三种负载场景下两类顾客的指标变化情况,并根据抢占阈值的研究确定不同负载场景下的阈值选择。这也有助于企业在实际运营中的策略选择,为其以往的经验化决策提供支持。Based on the classic priority model, this paper introduces a flexible preemption strategy to study the changes in service indicators such as average stay time and number of customers with different priorities under this strategy. The research shows that in the application scenario hypothesis and simulation model built in this paper, the index changes of two types of customers under three load scenarios can be accurately calculated according to the simulation parameter values set, and the threshold selection under different load scenarios can be determined according to the study of preemption threshold. This also helps enterprises in the actual operation of the strategy choice, providing support for their past empirical decisions.
