Study on Manufacturing System Modeling Based on Improved Stochastic Statechart

ZHANG Guo-jun; HE Jia-bing; ZHU Hai-ping

Journal of Beijing University of Technology > 2006 > 32(8): 693-698.

ZHANG Guo-jun, HE Jia-bing, ZHU Hai-ping. Study on Manufacturing System Modeling Based on Improved Stochastic Statechart[J]. Journal of Beijing University of Technology, 2006, 32(8): 693-698.

Citation:

ZHANG Guo-jun, HE Jia-bing, ZHU Hai-ping. Study on Manufacturing System Modeling Based on Improved Stochastic Statechart[J]. Journal of Beijing University of Technology, 2006, 32(8): 693-698.

Citation:

ZHANG Guo-jun, HE Jia-bing, ZHU Hai-ping. Study on Manufacturing System Modeling Based on Improved Stochastic Statechart[J]. Journal of Beijing University of Technology, 2006, 32(8): 693-698.

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Study on Manufacturing System Modeling Based on Improved Stochastic Statechart

State Key Lab of Digital Manufacturing and Equipment Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China

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Received Date: May 10, 2006
Available Online: December 29, 2022

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Stochastic statechart is widely used modeling systems.Lack of consideration of comparability between different sub-systems leads to the complexity of modeling.Stochastic statechart is improved by using abstract sub-system and general system chart to express the comparability and integrity of stochastic statechart respectively.The performance measurements can be obtained by the Continuous-Time Markov Chain,which is transformed from the manufacturing system model by the improved stochastic statecharts.A case study shows that the improved stochastic statechart can effectively simplify the modeling and performance evaluation process and it is useful to configuration and optimization of manufacturing system.
- stochastic statechart,
- markov Chain,
- manufacturing system

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