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Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018 pp 410–418Cite as

Weighted Self-regulation Complex Network-Based Modeling and Key Nodes Identification of Multistage Assembling Process

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Abstract

This paper proposed a weighted self-regulation variation propagation network (WSRVPN) modeling and key nodes identification method based on the complex network for multistage assembly process. Firstly, a self-regulation weighted variation transmission network is constructed through using actual machining error, quality characteristic information and assembly process requirements. Then, the weighted LeaderRank sorting algorithm is introduced to rank the importance of nodes in the network and find the key nodes. To ensure the final assembly’s quality by controlling the quality of critical nodes. The multistage assembling process of a bevel gear assembly is studied, which proves that the method can effectively model the complicated assembly deviation flow and identify the key weak points.

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References

  1. S.J. Hu, Y. Koren, Stream-of-variation theory for automotive body assembly. CIRP Ann. Manuf. Technol. 46(1), 1–6 (1997)

    Article  Google Scholar 

  2. D. Ceglarek, W. Huang, S. Zhou et al., Time-based competition in multistage manufacturing: Stream-of-variation analysis (SOVA) methodology. Int. J. Flex. Manuf. Syst. 16(1), 11–44 (2004)

    Article  Google Scholar 

  3. Y. Ding, J. Shi, D. Ceglarek, Diagnosability analysis of multi-station manufacturing processes. J. Dyn. Syst. Meas. Contr. 124(1), 1–13 (2002)

    Article  Google Scholar 

  4. J. Shi, Stream of variation modeling and analysis for multistage manufacturing processes (CRC Press, 2006)

    Google Scholar 

  5. J. Camelio, S.J. Hu, D. Ceglarek, Modeling variation propagation of multi-station assembly systems with compliant parts. J. Mech. Des. 125(4), 673–681 (2003)

    Article  Google Scholar 

  6. H. Wang, X. Ding, Identifying sources of variation in horizontal stabilizer assembly using finite element analysis and principal component analysis. Assembl. Autom. 33(1), 86–96 (2013)

    Article  Google Scholar 

  7. J. Liu, Variation reduction for multistage manufacturing processes: a comparison survey of statistical-process-control vs stream-of-variation methodologies. Qual. Reliab. Eng. Int. 26(7), 645–661 (2010)

    Article  Google Scholar 

  8. T. Zhang, J. Shi, Stream of variation modeling and analysis for compliant composite part assembly—part II: multistation processes. J. Manuf. Sci. Eng. 138(12), 121004 (2016)

    Article  Google Scholar 

  9. J.V. Abellan-Nebot, J. Liu, F.R. Subirn et al., State space modeling of variation propagation in multistation machining processes considering machining-induced variations. J. Manuf. Sci. Eng. 134(2), 021002 (2012)

    Article  Google Scholar 

  10. K.-X. Peng, L. Ma, K. Zhang, Review of quality-related fault detection and diagnosis techniques for complex industrial processes. Acta Automatica Sinica 43(3), 349–365 (2017)

    Google Scholar 

  11. Y. Shi, M. Gregory, International manufacturing networks—to develop global competitive capabilities. J. Oper. Manag. 16(2–3), 195–214 (1998)

    Article  Google Scholar 

  12. Z.H.O.U. Sheng-Xinag, Study on extraction of machining features about parts of revolution. Acta Automatica Sinica 25(6), 848–851 (1999)

    Google Scholar 

  13. S. Brin, L. Page, The anatomy of a large-scale hypertextual Web search engine. Comput. Netw. ISDN Syst. 30(1) (1998)

    Article  Google Scholar 

  14. Q. Li, T. Zhou, L. Lü et al., Identifying influential spreaders by weighted LeaderRank. Physica A 404, 47–55 (2014)

    Article  Google Scholar 

  15. S. Boccaletti, V. Latora, Y. Moreno, M. Chavez, D.U. Hwang, Complex networks: structure and dynamics. Phys. Rep. 424(4), 175–308 (2006)

    Article  Google Scholar 

Download references

Acknowledgements

This research was supported by the National Natural Science Foundation of China (No. 51375290, 71777173), the Fundamental Research Funds for Central Universities, and Shanghai Science.

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Authors and Affiliations

  1. School of Mechanical Engineering, Tongji University, Shanghai, China

    Peng Zhu & Jian-bo Yu

Authors
  1. Peng Zhu
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  2. Jian-bo Yu
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Corresponding author

Correspondence to Jian-bo Yu .

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Editors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, Hong Kong

    George Q. Huang

  2. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan

    Chen-Fu Chien

  3. Department of Information Management and Management Science, Tianjin University, Tianjin, China

    Runliang Dou

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Zhu, P., Yu, Jb. (2019). Weighted Self-regulation Complex Network-Based Modeling and Key Nodes Identification of Multistage Assembling Process. In: Huang, G., Chien, CF., Dou, R. (eds) Proceeding of the 24th International Conference on Industrial Engineering and Engineering Management 2018. Springer, Singapore. https://doi.org/10.1007/978-981-13-3402-3_44

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