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

التفاصيل البيبلوغرافية
العنوان: Knowledge Flow Modeling and Analysis in Supply Chain Based on Stochastic Petri Net
المؤلفون: Yi Jie Ding, Xiao Zhong Li
المصدر: Advanced Materials Research. 459:381-385
بيانات النشر: Trans Tech Publications, Ltd., 2012.
سنة النشر: 2012
مصطلحات موضوعية: Knowledge management, Markov chain, Process (engineering), business.industry, Computer science, Supply chain, General Engineering, Petri net, Industrial engineering, Resource (project management), Knowledge flow, Order (exchange), Stochastic Petri net, business
الوصف: 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
تدمد: 1662-8985
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ecc062c4cd9fd1591a378cc445749dd
https://doi.org/10.4028/scientific5/amr.459.381
حقوق: CLOSED
رقم الأكسشن: edsair.doi.dedup.....8ecc062c4cd9fd1591a378cc445749dd
قاعدة البيانات: OpenAIRE