Reconfiguration point decision method based on dynamic complexity for reconfigurable manufacturing system (RMS)

Sihan Huang, Guoxin Wang*, Xiwen Shang, Yan Yan

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

30 引用 (Scopus)

摘要

To address the problem of how to identify the best time to implement reconfiguration for the reconfigurable manufacturing system (RMS), a dynamic complexity-based RMS reconfiguration point decision method is proposed. This method first identifies factors that affect RMS dynamic complexity (including both positive and negative complexity) at the machine tool and manufacturing cell levels. Next, based on information entropy theory, a quantitative model for RMS dynamic complexity is created, which is solved via state probability analysis for processing capability and the processing function. This model is combined with cusp catastrophe theory to establish an RMS reconfiguration decision model. Both positive and negative complexity are control variables for cusp catastrophe. Cusp catastrophe’s state condition is used to identify RMS state catastrophe at the final stage of production. This catastrophe point is the RMS reconfiguration point. Finally, the case study result shows that this method can effectively identify the RMS state catastrophe moment so that system reconfiguration is implemented promptly to improve RMS’s responsiveness to the market.

源语言英语
页(从-至)1031-1043
页数13
期刊Journal of Intelligent Manufacturing
29
5
DOI
出版状态已出版 - 1 6月 2018

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Huang, S., Wang, G., Shang, X., & Yan, Y. (2018). Reconfiguration point decision method based on dynamic complexity for reconfigurable manufacturing system (RMS). Journal of Intelligent Manufacturing, 29(5), 1031-1043. https://doi.org/10.1007/s10845-017-1318-2