Business world has reached a complexity tipping point, increasing the risk of disruption consequences not to remain localised in a single company but to reverberate on the entire Supply Chain. Literature now pays great attention to studying this ripple effect, which can critically undermine resilience of the entire Supply Chain. This work further investigates ripple effect by analysing the presence of cycles among these chain reactions using Fuzzy Cognitive Maps. This methodology allows to link multidimensional and multidisciplinary concepts: by unveiling this information, managers and policymakers are provided with more details about the system behaviour. The research method exemplified uncovers the causal relationships among factors influencing Supply Chain Resilience, providing necessary insight to break or reinforce such connections. A case study of an automotive industry Supply Chain is presented to show the application of the proposed methodology into an operating context: 15 different cycles have been enumerated, explaining how connections among these factors ultimately impact Supply Chain Resilience.