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A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems

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  • Ruiying Li

    (School of Reliability and Systems Engineering, Beihang University, No. 37, Xue Yuan Road, Beijing 100191, China
    Science and Technology on Reliability and Environmental Engineering Laboratory, No. 37, Xue Yuan Road, Beijing 100191, China)

  • Xiaoyu Tian

    (School of Reliability and Systems Engineering, Beihang University, No. 37, Xue Yuan Road, Beijing 100191, China)

  • Li Yu

    (School of Reliability and Systems Engineering, Beihang University, No. 37, Xue Yuan Road, Beijing 100191, China)

  • Rui Kang

    (School of Reliability and Systems Engineering, Beihang University, No. 37, Xue Yuan Road, Beijing 100191, China
    Science and Technology on Reliability and Environmental Engineering Laboratory, No. 37, Xue Yuan Road, Beijing 100191, China)

Abstract

With the development of intelligent manufacturing technology, the material handling system (MHS) faces larger resilience challenges that threaten the sustainability of the system. To evaluate system resilience, the disturbance that the system may experience and the system response need to be identified in advance. This paper proposes a systematic and innovative approach to performing resilience-related disturbance analysis, i.e., disturbance mode and effects analysis (DMEA). Using this method, the possible disturbance modes, their occurrence probabilities, and the quantitative effects on system performance can be collected in a bottom-up process, and the information can be applied to further resilience quantification. Moreover, a quantitative system resilience evaluation framework for the MHS based on DMEA and the Monte Carlo method is presented. Production is defined as the key performance index of the system and is monitored to reflect the resilience behavior of the system after the disturbance occurs. The resilience of a tire tread handing system is quantified in our case study, and the results show the effectiveness of our DMEA-based resilience evaluation method. We also find that a reasonable system configuration and maintenance strategy can effectively improve system resilience, and a trade-off can be made between resilience and cost.

Suggested Citation

  • Ruiying Li & Xiaoyu Tian & Li Yu & Rui Kang, 2019. "A Systematic Disturbance Analysis Method for Resilience Evaluation: A Case Study in Material Handling Systems," Sustainability, MDPI, vol. 11(5), pages 1-18, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1447-:d:212300
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    References listed on IDEAS

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    3. Zhang, Yanping & Cai, Baoping & Liu, Yiliu & Jiang, Qiangqiang & Li, Wenchao & Feng, Qiang & Liu, Yonghong & Liu, Guijie, 2021. "Resilience assessment approach of mechanical structure combining finite element models and dynamic Bayesian networks," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

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