摘要
考察了基于广义随机Petri网的供应链建模与分析技术,在总结Petri网建立供应链模型优势的基础上,将广义随机Petri网(GSPN)的基本理论应用于供应链系统的建模和性能分析,利用GSPN与马尔可夫链的同构关系,采用Petri网与马尔可夫链理论相结合的供应链性能分析方法,为供应链性能的有效评估提供了理论依据,并通过实例验证,该方法可用于分析供应链模型的时间性能和运作效率,为供应链决策层提供参考.
This paper studied dynamic modeling techniques for analyzing supply chain networks using generalized stochastic Petri nets （GSPN）. The advantages of supply chain modeling using Petri net were summarized and then the theory of GSPN was applied to supply chain system modeling and analysis. By utilizing the equivalence relation between GSPN and Markov chain, a method of combining Petri net and Markov chain was used to analyze the performance of supply chain effectively. Finally, a case study was given to verify that this method can analyze the time-based performance and operation efficiency, and the results can be used as reference for decision-makers of suPPly chain.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2005年第12期18-24,共7页
Systems Engineering-Theory & Practice
基金
广东省自然科学基金(021352)
广东省"千百十工程"培养基金(Q02119)
