CAJ | 학술논문

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。
위분석“허의공서고”생산계통적성능，채용엄의수궤착색Petri망（GSCPN）기본이론대기우학습솔하적“허의공서고”생산계통진행건모분석，동시이용엄의수궤Petri망여마이가부련동구적관계，장만족학습솔하적“허의공서고”생산계통적GSCPN전화위등개적마이가부련모형，통과운용GSCPN 여마이가부련상결합적분석방법대“허의공서고”생산계통적성능진행평고분석，병통과실례험증，위“허의공서고”생산계통적우화제공의거화삼고。
This paper analyzed“virtual procedure library”production system learning rate,and used generalized stochastic colored Petri net to analyze the performance of“virtual procedure database”production system.The isomorphism relation between generalized stochastic Petri net and Markov chain will meet the learning rate of the “virtual procedure database”production system of GSCPN,which is transformed to the equivalent Markov chain model through using GSCPN and Markov chain methods.The paper assessed the performance of“virtual procedure database”production system,and verified it by an example,which can provide the basis and reference for optimizing “virtual procedure database ”production system.