Conceptual model for breaking ripple effect and cycles within supply chain resilience

G. Marcucci, G. Mazzuto, M. Bevilacqua, F. Ciarapica, L. Urciuoli
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引用次数: 11

Abstract

ABSTRACT 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.
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打破连锁反应和供应链弹性周期的概念模型
商业世界已经达到了一个复杂的临界点,增加了破坏后果的风险,而不是局限于单个公司,而是影响到整个供应链。现在的文献非常重视研究这种连锁反应,它会严重破坏整个供应链的弹性。这项工作通过使用模糊认知图分析这些连锁反应之间的循环,进一步研究了连锁反应的存在。这种方法允许将多维和多学科概念联系起来:通过揭示这些信息,管理人员和决策者可以获得有关系统行为的更多细节。本文的研究方法揭示了影响供应链弹性的因素之间的因果关系,为打破或加强这种联系提供了必要的见解。本文提出了一个汽车行业供应链的案例研究,以展示所提出的方法在运营环境中的应用:列举了15个不同的周期,解释了这些因素之间的联系如何最终影响供应链弹性。
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