IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v15y2024i6d10.1007_s13198-023-02241-3.html
   My bibliography  Save this article

Enhancing Choquet integral in risk assessment of auto parts manufacturing process in the network structure of failure modes

Author

Listed:
  • Paria Azizpour

    (Urmia University of Technology)

  • Mustafa Jahangoshai Rezaee

    (Urmia University of Technology)

Abstract

The Failure Mode and Effects Analysis (FMEA) is a methodology used in discrete manufacturing industries to identify and evaluate risks. It focuses on three factors: Severity, Occurrence, and Detection (SOD), which are individually assessed for each failure mode. However, conventional risk assessments often overlook the interconnectedness of risks within a system. To enhance this process, incorporating cause-and-effect relationships between risks can be beneficial. This study addresses this limitation by utilizing the network structure of FMEA. It introduces the Choquet integral, a fuzzy measurement theory, to quantify the influence of assessment factors on one another through cause-and-effect connections. By integrating failure modes based on their significance, this method updates SOD values to reflect these relationships. Ultimately, the Choquet integral is repurposed to rank failures, ensuring a balanced consideration of assessment factors and preventing the dominance of a single factor. To showcase the effectiveness of this approach, a case study is conducted involving failures within an auto parts production unit. The proposed method demonstrates the advantages of accounting for interconnectedness among failure modes, offering a more comprehensive and accurate risk assessment process.

Suggested Citation

  • Paria Azizpour & Mustafa Jahangoshai Rezaee, 2024. "Enhancing Choquet integral in risk assessment of auto parts manufacturing process in the network structure of failure modes," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2271-2283, June.
  • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:6:d:10.1007_s13198-023-02241-3
    DOI: 10.1007/s13198-023-02241-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-023-02241-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13198-023-02241-3?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chi, Chia-Fen & Sigmund, Davin & Astardi, Martin Octavianus, 2020. "Classification Scheme for Root Cause and Failure Modes and Effects Analysis (FMEA) of Passenger Vehicle Recalls," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    2. Dhalmahapatra, Krantiraditya & Garg, Ashish & Singh, Kritika & Xavier, Nirmal Francis & Maiti, J., 2022. "An integrated RFUCOM – RTOPSIS approach for failure modes and effects analysis: A case of manufacturing industry," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    3. Thanh-Lam Nguyen & Ming-Hung Shu & Bi-Min Hsu, 2016. "Extended FMEA for Sustainable Manufacturing: An Empirical Study in the Non-Woven Fabrics Industry," Sustainability, MDPI, vol. 8(9), pages 1-14, September.
    4. Peeters, J.F.W. & Basten, R.J.I. & Tinga, T., 2018. "Improving failure analysis efficiency by combining FTA and FMEA in a recursive manner," Reliability Engineering and System Safety, Elsevier, vol. 172(C), pages 36-44.
    5. Wang, Qun & Jia, Guozhu & Jia, Yuning & Song, Wenyan, 2021. "A new approach for risk assessment of failure modes considering risk interaction and propagation effects," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    6. Jahangoshai Rezaee, Mustafa & Yousefi, Samuel, 2018. "An intelligent decision making approach for identifying and analyzing airport risks," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 14-27.
    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. Chen, Yinuo & Tian, Zhigang & He, Rui & Wang, Yifei & Xie, Shuyi, 2023. "Discovery of potential risks for the gas transmission station using monitoring data and the OOBN method," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    2. Grabill, Nicholas & Wang, Stephanie & Olayinka, Hammed A. & De Alwis, Tharindu P. & Khalil, Yehia F. & Zou, Jian, 2024. "AI-augmented failure modes, effects, and criticality analysis (AI-FMECA) for industrial applications," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
    3. Wang, Xinjian & Xia, Guoqing & Zhao, Jian & Wang, Jin & Yang, Zaili & Loughney, Sean & Fang, Siming & Zhang, Shukai & Xing, Yongheng & Liu, Zhengjiang, 2023. "A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    4. Nazarizadeh, Farzaneh & Alemtabriz, Akbar & Zandieh, Mostafa & Raad, Abbas, 2022. "An analytical model for reliability assessment of the rail system considering dependent failures (case study of Iranian railway)," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    5. Maciej Urbaniak & Dominik Zimon & Peter Madzik & Eva Šírová, 2022. "Risk factors in the assessment of suppliers," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-21, August.
    6. Mahdi Mokhtarzadeh & Jorge Rodríguez-Echeverría & Ivana Semanjski & Sidharta Gautama, 2025. "Hybrid intelligence failure analysis for industry 4.0: a literature review and future prospective," Journal of Intelligent Manufacturing, Springer, vol. 36(4), pages 2309-2334, April.
    7. Zhi-Jiao Du & Zhi-Xiang Chen & Su-Min Yu, 2021. "Improved Failure Mode and Effect Analysis: Implementing Risk Assessment and Conflict Risk Mitigation with Probabilistic Linguistic Information," Mathematics, MDPI, vol. 9(11), pages 1-20, May.
    8. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching, 2019. "A novel failure mode and effect analysis model for machine tool risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 173-183.
    9. Zuzhen Ji & Dirk Pons & John Pearse, 2021. "A Methodology for Harmonizing Safety and Health Scales in Occupational Risk Assessment," IJERPH, MDPI, vol. 18(9), pages 1-15, May.
    10. Toly Chen, 2016. "Competitive and Sustainable Manufacturing in the Age of Globalization," Sustainability, MDPI, vol. 9(1), pages 1-5, December.
    11. Li, He & Diaz, H. & Guedes Soares, C., 2021. "A developed failure mode and effect analysis for floating offshore wind turbine support structures," Renewable Energy, Elsevier, vol. 164(C), pages 133-145.
    12. Kai Pan & Hui Liu & Xiaoqing Gou & Rui Huang & Dong Ye & Haining Wang & Adam Glowacz & Jie Kong, 2022. "Towards a Systematic Description of Fault Tree Analysis Studies Using Informetric Mapping," Sustainability, MDPI, vol. 14(18), pages 1-28, September.
    13. Li, He & Teixeira, Angelo P. & Guedes Soares, C., 2020. "A two-stage Failure Mode and Effect Analysis of offshore wind turbines," Renewable Energy, Elsevier, vol. 162(C), pages 1438-1461.
    14. Zobia Rehman & Claudiu Vasile Kifor & Farhana Jabeen & Sheneela Naz & Muhammad Waqar, 2020. "Automatic Acquisition of Failure Mode and Effect Analysis Ontology for Sustainable Risk Management," Sustainability, MDPI, vol. 12(23), pages 1-21, December.
    15. Liu, Jintao & Schmid, Felix & Zheng, Wei & Zhu, Jiebei, 2019. "Understanding railway operational accidents using network theory," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 218-231.
    16. Huang, Wencheng & Zhang, Yue & Yu, Yaocheng & Xu, Yifei & Xu, Minhao & Zhang, Rui & De Dieu, Gatesi Jean & Yin, Dezhi & Liu, Zhanru, 2021. "Historical data-driven risk assessment of railway dangerous goods transportation system: Comparisons between Entropy Weight Method and Scatter Degree Method," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    17. Hsu, Chao-Che & Chang, Hsiang-Chuan & Li, Yan-Cheng & Liou, James J.H., 2024. "Developing an airport resilience assessment model for climate change," Journal of Air Transport Management, Elsevier, vol. 119(C).
    18. Yousefi, Samuel & Mohamadpour Tosarkani, Babak, 2022. "An analytical approach for evaluating the impact of blockchain technology on sustainable supply chain performance," International Journal of Production Economics, Elsevier, vol. 246(C).
    19. Wencheng Huang & Yueyang Li & Xingyi Kou & Wenzhe Wang & Yifei Xu, 2021. "Using a FMEA–TIFIAD Approach to Identify the Risk of Railway Dangerous Goods Transportation System," Group Decision and Negotiation, Springer, vol. 30(1), pages 63-95, February.
    20. Huang, Tudi & Xiahou, Tangfan & Mi, Jinhua & Chen, Hong & Huang, Hong-Zhong & Liu, Yu, 2024. "Merging multi-level evidential observations for dynamic reliability assessment of hierarchical multi-state systems: A dynamic Bayesian network approach," Reliability Engineering and System Safety, Elsevier, vol. 249(C).

    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:spr:ijsaem:v:15:y:2024:i:6:d:10.1007_s13198-023-02241-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.