Проверка возможности использования уравнения Колмогорова для расчета процессов гибели и размножения

A. V. Zatonskiy
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引用次数: 2

Abstract

A simulation is widely used as a basis for decision support systems. Many production systems may be considered as queuing systems if a time of processes more valuable than their physical meaning. Program models realized queuing systems are used in a planning and in optimization targets. But results of program simulation are not suitable for scientific qualification works according to traditions. Analytical conclusions are made using Kolvogorovs’ equations and some models derived from the one usually. But a question about possibility of using them with widespread statistical distributions is not quite explored. In this article we investigate a possibility of using the Kolmogorov's equations on a simple reproduction and death queuing system with some distributions. Numerical data is obtained from program models realized in GPSS and AnyLogic. Theoretical results in comparison with numerical data lead us to a conclusion. The possibility is present only when all statistical distributions in the model are exponential or very close to exponential. Else average error between the theory and the model is above 60%. So far as a small experimental data typical for observations in production systems does not allow to determine own statistical distribution surely, an uniform distribution is accepted as default, and Kolmogorov’s equations could not be used.
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测试colmogorov方程的可行性,以计算死亡和繁殖过程
仿真被广泛用作决策支持系统的基础。如果过程的时间比它们的物理意义更有价值,那么许多生产系统可以被认为是排队系统。程序模型实现了排队系统的规划和优化目标。但是程序模拟的结果并不适合传统的科学鉴定工作。利用柯尔沃戈罗夫方程和由柯尔沃戈罗夫方程推导出的一些模型,得出了分析结论。但是,关于在广泛的统计分布中使用它们的可能性的问题并没有得到充分的探讨。在本文中,我们研究了在具有一些分布的简单复制和死亡排队系统上使用Kolmogorov方程的可能性。数值数据由GPSS和AnyLogic实现的程序模型得到。将理论结果与数值数据进行了比较,得出了一个结论。只有当模型中的所有统计分布都是指数或非常接近指数时,才存在这种可能性。除此之外,理论与模型的平均误差在60%以上。对于生产系统中典型观测的小实验数据,如果不能确定自身的统计分布,则接受均匀分布作为默认值,不能使用Kolmogorov方程。
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