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Risk-oriented assembly quality analysing approach considering product reliability degradation

Author

Listed:
  • Yihai He
  • Jiaming Cui
  • Fengdi Liu
  • Panting Duan
  • Donglin Li

Abstract

Assembly process is a critical stage in the formation of product quality and reliability, but related consideration of the produced product reliability and accident risk has not attracted deserved attention in the most assembly quality analysis frameworks. To this end, this paper enhances risk analysis in assembly process quality control, which is advocated by ISO 9001:2015, and presents a risk-oriented assembly quality analysis approach considering the effects of assembly variations on the produced product reliability degradation and accident risk. First, a conceptual QRR chain is presented to illustrate the relationship among assembly process quality (Q), product reliability (R), and failure accident risk (R). Second, a risk-oriented and bidirectional framework for the analysis of assembly process quality is established based on the presented QRR chain aiming to quantitatively identify the risk sources in the assembly process and reduce the risk of failure accidents. Third, an assembly process quality risk model with key function reliability as its core is presented to establish the quantitative relationship between assembly variation and product failure accident risk. Finally, the presented approach is verified through a case study of an assembling quality risk analysing for acid-resistant grinder.

Suggested Citation

  • Yihai He & Jiaming Cui & Fengdi Liu & Panting Duan & Donglin Li, 2019. "Risk-oriented assembly quality analysing approach considering product reliability degradation," International Journal of Production Research, Taylor & Francis Journals, vol. 57(1), pages 271-284, January.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:1:p:271-284
    DOI: 10.1080/00207543.2018.1475765
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    Cited by:

    1. Yixiao Zhao & Yihai He & Fengdi Liu & Xiao Han & Anqi Zhang & Di Zhou & Yao Li, 2020. "Operational risk modeling based on operational data fusion for multi-state manufacturing systems," Journal of Risk and Reliability, , vol. 234(2), pages 407-421, April.
    2. Liao, Ruoyu & He, Yihai & Zhang, Jishan & Zheng, Xin & Zhang, Anqi & Zhang, Weifang, 2023. "Reliability proactive control approach based on product key reliability characteristics in manufacturing process," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    3. Han, Xiao & Wang, Zili & Xie, Min & He, Yihai & Li, Yao & Wang, Wenzhuo, 2021. "Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence," Reliability Engineering and System Safety, Elsevier, vol. 210(C).

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