Abstract This study aims to investigate overall supply chain network resilience (SCNR) in the presence of ripple effect, or risk propagation, i.e. the phenomenon that disruptions at a few firms in a supply chain network (SCN) can spread to their neighboring firms, then eventually spread to other firms in the SCN. We begin by developing a multi-dimensional quantitative framework to measure SCNR, which includes three resilience dimensions based on three different network performance indicators. Given this framework, we then systematically explore the determining factors of SCNR and present a comprehensive analysis of how network structure and node risk capacity influence different aspects of SCNR. Our results clearly indicate the following important implications for managers. First, the influence of network type on SCNR tends to be more significant in the short-term than it is in the longer-term, given the ripple effect. Second, SCNR can be improved more effectively by enhancing node risk capacity than by adjusting network structure. Third, tradeoffs exist between the robustness of the network against a disruption and its ability to recover from that disruption. Fourth, different network performance indicators can provide different perspectives on SCNR. Together these help show that the multi-dimensional framework enables a better characterization of the complexity of SCNR, and thus that it provides support for more informed managerial decision-making about investing in improving resilience. The paper concludes the discussion by addressing opportunities for further extending the research effort.

中文翻译：

---

在存在涟漪效应的情况下探索供应链网络弹性

摘要 本研究旨在调查在存在涟漪效应或风险传播的情况下的整体供应链网络弹性 (SCNR)，即供应链网络 (SCN) 中少数公司的中断可以蔓延到其邻近公司的现象，然后最终传播到 SCN 中的其他公司。我们首先开发了一个多维量化框架来衡量 SCNR，其中包括基于三个不同网络性能指标的三个弹性维度。在此框架下，我们系统地探讨了 SCNR 的决定因素，并全面分析了网络结构和节点风险能力如何影响 SCNR 的不同方面。我们的结果清楚地表明以下对管理者的重要影响。第一的，考虑到涟漪效应，网络类型对 SCNR 的影响在短期内比在长期内更显着。其次，与调整网络结构相比，提高节点风险能力可以更有效地提高 SCNR。第三，网络对中断的稳健性与其从中断中恢复的能力之间存在权衡。第四，不同的网络性能指标可以提供不同的 SCNR 视角。这些共同帮助表明，多维框架能够更好地表征 SCNR 的复杂性，从而为关于投资提高弹性的更明智的管理决策提供支持。本文通过探讨进一步扩展研究工作的机会来结束讨论。