A Simulation Engine for Stochastic Timed Petri Nets and Application to Emergency Healthcare Systems

被引:0
作者
Jiani Zhou [1 ]
Jiacun Wang [1 ]
Jun Wang [2 ]
机构
[1] Monmouth University
[2] the School of Automation, Nanjing University of Science and Technology
关键词
Emergency department; healthcare; resource requirements; simulation; sojourn time; stochastic timed Petri nets(STPNs); workflows;
D O I
暂无
中图分类号
R197.1 [医疗服务制度]; TP301.1 [自动机理论];
学科分类号
1004 ; 120402 ; 081202 ;
摘要
In many service delivery systems, the quantity of available resources is often a decisive factor of service quality. Resources can be personnel, offices, devices, supplies, and so on, depending on the nature of the services a system provides. Although service computing has been an active research topic for decades, general approaches that assess the impact of resource provisioning on service quality matrices in a rigorous way remain to be seen. Petri nets have been a popular formalism for modeling systems exhibiting behaviors of competition and concurrency for almost a half century. Stochastic timed Petri nets(STPN), an extension to regular Petri nets, are a powerful tool for system performance evaluation. However, we did not find any single existing STPN software tool that supports all timed transition firing policies and server types, not to mention resource provisioning and requirement analysis. This paper presents a generic and resource oriented STPN simulation engine that provides all critical features necessary for the analysis of service delivery system quality vs. resource provisioning. The power of the simulation system is illustrated by an application to emergency health care systems.
引用
收藏
页码:969 / 980
页数:12
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