Knowledge Flow Modeling and Analysis in Supply Chain Based on Stochastic Petri Net

Xiao Zhong Li; Yi Jie Ding

doi:10.4028/www.scientific.net/AMR.459.381

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 459Knowledge Flow Modeling and Analysis in Supply...

Knowledge Flow Modeling and Analysis in Supply Chain Based on Stochastic Petri Net

Abstract:

Knowledge is an important resource providing competitive strategies for the firms. Managing knowledge through supply chain will bring more benefits to the businesses. Various factors during the process of knowledge flowing can cause different time delay. In order to analyze the problem of time delay of knowledge flow in supply chain, the knowledge flow model in supply chain based on stochastic Petri net is proposed and corresponding isomorphic Markov chain is given. The time performance and the efficiency of knowledge flow Petri net model are discussed. The proposed method can help the firm with the knowledge flow management and reorganization

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Periodical:

Advanced Materials Research (Volume 459)

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381-385

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.459.381

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Online since:

January 2012

Authors:

Xiao Zhong Li, Yi Jie Ding

Keywords:

Efficiency of Knowledge Flow, Knowledge Flow Model, Stochastic Petri Net

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