IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v239y2025i5p1221-1237.html

Mission reliability modeling based on extended RQR chain considering process scheme robustness for multistate manufacturing systems

Author

Listed:
  • Tianyu Feng
  • Yihai He
  • Jiayang Li
  • Rui Shi

Abstract

Process scheme robustness is the core of the “Method†in 5M1E (Man, Machine, Material, Method, Measurement, and Environment), which is the foundation of manufacturing quality and reliability assurance. However, previous studies frequently overlooked the significant impact of the coupling between the process scheme and process parameter robustness on the formation and degradation of mission reliability. Therefore, a novel method for modeling mission reliability in a multistate manufacturing system is proposed. This method is based on an extended RQR chain (manufacturing system Reliability, operational process Quality, and the produced product Reliability) while considering process scheme robustness. First, the connotation of process scheme robustness and mission reliability in multistate manufacturing systems is described. Second, an extended RQR chain (ERQR chain) model is established, which considers the influence of process scheme robustness on the high-quality operation of the manufacturing system. Third, based on the established ERQR chain model, an integrated mission reliability model considering process scheme robustness for multistate manufacturing systems is established. Specifically, the process scheme robustness is evaluated from three perspectives: manufacturing cost, operation time, and product qualification rate. Finally, a hydraulic pump is used as an example to verify the effectiveness of the proposed approach.

Suggested Citation

  • Tianyu Feng & Yihai He & Jiayang Li & Rui Shi, 2025. "Mission reliability modeling based on extended RQR chain considering process scheme robustness for multistate manufacturing systems," Journal of Risk and Reliability, , vol. 239(5), pages 1221-1237, October.
    • Handle: RePEc:sae:risrel:v:239:y:2025:i:5:p:1221-1237
    DOI: 10.1177/1748006X241283993
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X241283993
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1748006X241283993?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ye, Zhenggeng & Cai, Zhiqiang & Zhou, Fuli & Zhao, Jiangbin & Zhang, Pan, 2019. "Reliability analysis for series manufacturing system with imperfect inspection considering the interaction between quality and degradation," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 345-356.
    2. Yihai He & Zhenzhen He & Linbo Wang & Changchao Gu, 2015. "Reliability Modeling and Optimization Strategy for Manufacturing System Based on RQR Chain," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-13, November.
    3. Robert Inman & Dennis Blumenfeld & Ningjian Huang & Jingshan Li & Jing Li, 2013. "Survey of recent advances on the interface between production system design and quality," IISE Transactions, Taylor & Francis Journals, vol. 45(6), pages 557-574.
    4. GAO, Guibing & ZHOU, Dengming & TANG, Hao & HU, Xin, 2021. "An Intelligent Health diagnosis and Maintenance Decision-making approach in Smart Manufacturing," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    5. Yang, Xiuzhen & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Ai, Jun, 2022. "Integrated mission reliability modeling based on extended quality state task network for intelligent multistate manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liao, Ruoyu & He, Yihai & Feng, Tianyu & Yang, Xiuzhen & Dai, Wei & Zhang, Weifang, 2023. "Mission reliability-driven risk-based predictive maintenance approach of multistate manufacturing system," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    2. Dui, Hongyan & Wang, Hengbo & Yang, Yong & Xing, Liudong, 2025. "IoT-based mission reliability evaluation and maintenance optimization of intelligent manufacturing systems integrating human errors and heterogeneous feedstocks," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).
    3. Song, Zhiting & Zhu, Jianhua & Chen, Kun, 2025. "Robustness analysis of smart manufacturing systems against resource failures: A two-layered network perspective," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    4. Yang, Xiuzhen & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Ai, Jun, 2022. "Integrated mission reliability modeling based on extended quality state task network for intelligent multistate manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    5. Li, Yao & He, Yihai & Ai, Jun & Wang, Chengcheng & Han, Xiao & Liao, Ruoyu & Yang, Xiuzhen, 2022. "Functional health prognosis approach of multi-station manufacturing system considering coupling operational factors," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    6. Zhang, Fengxia & Shen, Jingyuan & Liao, Haitao & Ma, Yizhong, 2021. "Optimal preventive maintenance policy for a system subject to two-phase imperfect inspections," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    7. Zhou, Jing & Liu, Yu & Liang, Decui & Tang, Maochun, 2023. "A new risk analysis approach to seek best production action during new product introduction," International Journal of Production Economics, Elsevier, vol. 262(C).
    8. Gao, Zhanfei & Yao, Jinyong & He, Yihai & Dui, Hongyan & Liang, Zhaolei & Li, Jiao, 2025. "Remaining useful life prediction and preventive maintenance approach for multistate manufacturing systems with feedstock heterogeneity," Reliability Engineering and System Safety, Elsevier, vol. 264(PA).
    9. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Integrated production, sampling quality control and maintenance of deteriorating production systems with AOQL constraint," Omega, Elsevier, vol. 61(C), pages 110-126.
    10. Cheng, Guoqing & Li, Ling, 2020. "Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    11. Dui, Hongyan & Meng, Xueyu & Xiao, Hui & Guo, Jianjun, 2020. "Analysis of the cascading failure for scale-free networks based on a multi-strategy evolutionary game," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    12. Zhang, Chao & Xu, Xin & Dui, Hongyan, 2020. "Resilience Measure of Network Systems by Node and Edge Indicators," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    13. Hendradewa, Andrie Pasca & Yin, Shen, 2025. "Comparative analysis of offshore wind turbine blade maintenance: RL-based and classical strategies for sustainable approach," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    14. Yao, Jinyong & Gao, Zhanfei & He, Yihai & Peng, Chong, 2024. "Integrated mission reliability modeling for multistate manufacturing systems considering heterogeneous feedstocks based on extended stochastic flow manufacturing network," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    15. Wang, Wenzhuo & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Zheng, Xin & Zhao, Yu, 2022. "Mission reliability driven functional healthy state modeling approach considering production rhythm and workpiece quality for manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    16. Xiong, Liujing & He, Yifan & Chen, Yuejian & Lu, Jinjun & Niu, Gang, 2023. "Digital twin-based degradation prediction for train electro-pneumatic valve," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
    17. Gouiaa-Mtibaa, A. & Dellagi, S. & Achour, Z. & Erray, W., 2018. "Integrated Maintenance-Quality policy with rework process under improved imperfect preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 1-11.
    18. 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).
    19. Guibing, GAO & Mingyu, CAO & Jun, WANG, 2025. "The health prediction of assembly robot based on feature fusion and weighted mahalanobis distance," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
    20. Zhao, Jiangbin & Si, Shubin & Cai, Zhiqiang & Guo, Peng & Zhu, Wenjin, 2020. "Mission success probability optimization for phased-mission systems with repairable component modules," Reliability Engineering and System Safety, Elsevier, vol. 195(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:239:y:2025:i:5:p:1221-1237. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.