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Scenario-Based Supply Chain Resilience Analysis of Bearings

Author

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  • Feng Lyu

    (School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China)

  • Fen Liu

    (School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China)

  • Shuping Zhang

    (School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China)

  • Zhiwen Zhang

    (School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China
    Longmen Laboratory, Luoyang 471003, China)

Abstract

Bearings, as an indispensable part of modern industry, and the related supply chain resilience in regard to maintaining the overall operational efficiency and competitiveness of the manufacturing industry, are highly significant. Integrating the triangular fuzzy number (TRFN), cross-influence analysis (CIA), and the adversarial interpretive structure model (AISM), this paper proposes a TCIA-AISM scenario model to analyze the resilience of the bearing supply chain. A hierarchical structure diagram is formed to clarify the transmission path of events that affect bearing supply chain resilience, identify the root cause and direct events that affect the results, and realize the visual analysis of such events. The probability of the outcome is predicted and the simulation of the scenario development trajectory provides a scientific basis for decision-makers to formulate reasonable emergency strategies. The validity of the method is verified by using an interruption event involving the G-enterprise case study as an example.

Suggested Citation

  • Feng Lyu & Fen Liu & Shuping Zhang & Zhiwen Zhang, 2024. "Scenario-Based Supply Chain Resilience Analysis of Bearings," Sustainability, MDPI, vol. 16(20), pages 1-18, October.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:20:p:9069-:d:1502341
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    References listed on IDEAS

    as
    1. Benjamin R. Tukamuhabwa & Mark Stevenson & Jerry Busby & Marta Zorzini, 2015. "Supply chain resilience: definition, review and theoretical foundations for further study," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5592-5623, September.
    2. Ahmad Ali Atieh Ali & Abdel-Aziz Ahmad Sharabati & Mahmoud Allahham & Ahmad Yacoub Nasereddin, 2024. "The Relationship between Supply Chain Resilience and Digital Supply Chain and the Impact on Sustainability: Supply Chain Dynamism as a Moderator," Sustainability, MDPI, vol. 16(7), pages 1-20, April.
    3. Ishii, Nobuaki & Ohba, Masaaki, 2023. "Quantitative evaluation of an information network in a supply chain," International Journal of Production Economics, Elsevier, vol. 261(C).
    4. Emma Brandon-Jones & Brian Squire & Chad W. Autry & Kenneth J. Petersen, 2014. "A Contingent Resource-Based Perspective of Supply Chain Resilience and Robustness," Journal of Supply Chain Management, Institute for Supply Management, vol. 50(3), pages 55-73, July.
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