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'PSA-SPN' – A Parameter Sensitivity Analysis Method Using Stochastic Petri Nets:Application to a Production Line System

机译:“PSA-SPN” - 使用随机Petri网的参数灵敏度分析方法:应用于生产线系统的应用

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摘要

The dynamic behavior of a discrete event dynamic system can be significantly affected forsome uncertain changes in its decision parameters. So, parameter sensitivity analysis would be a usefulway in studying the effects of these changes on the system performance. In the past, the sensitivityanalysis approaches are frequently based on simulation models. In recent years, formal methods based onstochastic process including Markov process are proposed in the literature. In this paper, we areinterested in the parameter sensitivity analysis of discrete event dynamic systems by using stochasticPetri nets models as a tool for modelling and performance evaluation. A sensitivity analysis approachbased on stochastic Petri nets, called PSA-SPN method, will be proposed with an application to aproduction line system.
机译:离散事件动态系统的动态行为可以显着影响其决策参数的不确定变化。因此,参数敏感性分析将是研究这些变化对系统性能的影响的有用途。过去,敏感性方法通常基于仿真模型。近年来,在文献中提出了基于马尔可夫过程的正式方法。在本文中,我们通过使用STOCHASTECPETLI NET型号作为用于建模和性能评估的工具,在离散事件动态系统的参数敏感性分析中感兴趣。将提出在随机培养物中接近的敏感性分析,称为PSA-SPN方法,将应用于软化线系统。

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