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Manufacturing system modeling and performance evaluation based on improved stochastic statechart

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Abstract

Stochastic statecharts are widely used in modeling systems. Considering that the comparability between different subsystems can streamline the modeling process, a stochastic statechart is improved by using the abstract sub-system and general system chart to express the comparability and integrity of a stochastic statechart respectively. Per formance data can be obtained by using a continuous-time Markov chain, which is transformed from a manufacturing system model described by the improved stochastic statechart. The case study shows that the improved stochastic statechart can effectively simplify the modeling and performance evaluation process and the results are useful to the configuration and optimization of a manufacturing system.

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Authors and Affiliations

  1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

    Zhang Guojun, He Jiabing, Zhu Haiping & Chen Xuan

Authors
  1. Zhang Guojun
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  2. He Jiabing
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  3. Zhu Haiping
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  4. Chen Xuan
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Corresponding author

Correspondence to Zhang Guojun.

Additional information

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Translated from Journal of Beijing University of Technology, 2006, 32(8): 693–698 [译自: 北京工业大学学报]

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Zhang, G., He, J., Zhu, H. et al. Manufacturing system modeling and performance evaluation based on improved stochastic statechart. Front. Mech. Eng. China 2, 453–458 (2007). https://doi.org/10.1007/s11465-007-0078-7

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  • DOI: https://doi.org/10.1007/s11465-007-0078-7

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