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

Ruiying Li, Xiaoyu Tian, Li Yu and Rui Kang
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Ruiying Li: School of Reliability and Systems Engineering, Beihang University, 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

Sustainability, 2019, vol. 11, issue 5, 1-18

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.

Keywords: resilience evaluation; disturbance mode identification; performance degradation and recovery process; material handling system (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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