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Identification of influential function modules within complex products and systems based on weighted and directed complex networks

Author

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  • Yupeng Li

    (China University of Mining and Technology)

  • Zhaotong Wang

    (China University of Mining and Technology)

  • Xiaoyu Zhong

    (China University of Mining and Technology)

  • Fan Zou

    (China University of Mining and Technology)

Abstract

As a cost saving and profit-making strategy, a modular design is being employed in developing complex products and systems (CoPS) in recent decades. At the early stage of design, the reliability of a product can be improved by identifying the influential function modules based on the modular function architecture. In this study, the weighted LeaderRank algorithm and susceptible-infected-recovered (SIR) model of weighted and directed complex networks (WDCNs) are employed to identify the influential function modules of modular CoPS at the conceptual design stage. First, the structure of the function module is obtained and is mapped into a WDCN. Second, based on the similarity between the behaviors of nodes in the WDCN and function modules in the CoPS, a node-identification approach based on the weighted LeaderRank algorithm is employed to identify the influential function modules, whose influences are then verified through the SIR model. The influential function modules of a modular large tonnage crawler crane are determined as a case study to demonstrate the effectiveness and validity of the developed method.

Suggested Citation

  • Yupeng Li & Zhaotong Wang & Xiaoyu Zhong & Fan Zou, 2019. "Identification of influential function modules within complex products and systems based on weighted and directed complex networks," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2375-2390, August.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:6:d:10.1007_s10845-018-1396-9
    DOI: 10.1007/s10845-018-1396-9
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    References listed on IDEAS

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    Cited by:

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    2. Yuming Guo, 2023. "Towards the efficient generation of variant design in product development networks: network nodes importance based product configuration evaluation approach," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 615-631, February.
    3. Yue Xi & Zhiyong Gao & Kun Chen & Hongwei Dai & Zhe Liu, 2022. "Error Propagation Model Using Jacobian-Torsor Model Weighting for Assembly Quality Analysis on Complex Product," Mathematics, MDPI, vol. 10(19), pages 1-18, September.
    4. Feipeng Guo & Zifan Wang & Shaobo Ji & Qibei Lu, 2022. "Influential Nodes Identification in the Air Pollution Spatial Correlation Weighted Networks and Collaborative Governance: Taking China’s Three Urban Agglomerations as Examples," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
    5. Liting Jing & Qingqing Xu & Tao Sun & Xiang Peng & Jiquan Li & Fei Gao & Shaofei Jiang, 2020. "Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation," Sustainability, MDPI, vol. 12(17), pages 1-28, September.

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