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Conceptual Scheme Decision Model for Mechatronic Products Driven by Risk of Function Failure Propagation

Author

Listed:
  • Liting Jing

    (College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
    College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China)

  • Qingqing Xu

    (College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Tao Sun

    (College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Xiang Peng

    (College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Jiquan Li

    (College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

  • Fei Gao

    (College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou 310023, China)

  • Shaofei Jiang

    (College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

Reliability is a major performance index in the electromechanical product conceptual design decision process. As the function is the purpose of product design, the risk of scheme design is easy to be caused when there is a failure (i.e., function failure). However, existing reliability analysis models focus on the failure analysis of functions but ignore the quantitative risk assessment of conceptual schemes when function failures occur. In addition, design information with subjectivity and fuzziness is difficult to introduce the risk index into the early design stage for comprehensive decisions. To fill this gap, this paper proposes a conceptual scheme decision model for mechatronic products driven by the risk of function failure propagation. Firstly, the function structure model is used to construct the function fault propagation model, so as to obtain the influence degree of the subfunction failure. Secondly, the principle solution weight is calculated when the function failure is propagated, and the influence degree of the failure mode is integrated to obtain the severity of the failure mode on the product system. Thirdly, the risk value of failure mode is calculated by multiplying the severity and failure probability of failure mode, and the risk value of the scheme is obtained based on the influence relationship between failure modes. Finally, the VIKOR (Višekriterijumska Optimizacija i kompromisno Rešenje) method is used to make the optimal decision for the conceptual scheme, and then take the cutting speed regulating device scheme of shearer as an example to verify the effectiveness and feasibility of the proposed decision model.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:7134-:d:407305
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    References listed on IDEAS

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    6. 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.
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    1. Hanyang Luo & Wugang Song & Wanhua Zhou & Xudong Lin & Sumin Yu, 2023. "An Analysis Framework to Reveal Automobile Users’ Preferences from Online User-Generated Content," Sustainability, MDPI, vol. 15(18), pages 1-29, September.

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