基于GSCPN的“虚拟工序库”生产系统建模研究与性能分析

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摘要:

为分析“虚拟工序库”生产系统的性能,采用广义随机着色Petri网(GSCPN)基本理论对基于学习率下的“虚拟工序库”生产系统进行建模分析,同时利用广义随机Petri网与马尔可夫链同构的关系,将满足学习率下的“虚拟工序库”生产系统的GSCPN转化为等价的马尔可夫链模型,通过运用GSCPN与马尔可夫链相结合的分析方法,对“虚拟工序库”生产系统的性能进行评估分析,并通过实例验证,为“虚拟工序库”生产系统的优化提供依据和参考。

Abstract:

This paper analyzed learning rate by using generalized stochastic colored Petri net, to analysis the performance of "virtual procedure database " production system .With the isomorphism relation between generalized stochastic Petri net and Markov chain, will meet the learning rate of the "virtual procedure database l through using GSCPN and Markov chain methods, to assess the performance of "virtual procedure database d the basis and reference for optimized virtual procedure database