Exploring supply chain network resilience in the presence of the ripple effect
Exploring supply chain network resilience in the presence of the ripple effect
复制标题
探讨连锁效应下的供应链网络弹性
DOI：
10.1016/j.ijpe.2020.107693
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发表时间：
2020-10-01
影响因子：
12
通讯作者：
Zobel, Christopher W.
中科院分区：
文献类型：
--
作者：
Li, Yuhong;Zobel, Christopher W.
本文旨在研究供应链网络中存在涟漪反应或风险传播时的整体弹性问题，即供应链网络中的少数企业发生的故障会扩散到相邻企业，并最终扩散到供应链网络中的其他企业。我们开始通过开发一个多维的定量框架来衡量SCNR，其中包括三个弹性维度的基础上三个不同的网络性能指标。在此框架下，我们系统地探讨了SCNR的决定因素，并提出了一个全面的分析网络结构和节点的风险能力如何影响SCNR的不同方面。我们的研究结果清楚地表明，以下重要的影响，管理人员。首先，考虑到涟漪效应，网络类型对SCNR的影响在短期内往往比长期内更重要。第二，通过提高节点风险能力比调整网络结构更能有效地提高SCNR。第三，网络对中断的鲁棒性和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对SCNR的不同观点。这些都有助于表明，多维度框架能够更好地描述SCNR的复杂性，从而为投资于提高弹性的更明智的管理决策提供支持。最后，本文讨论了进一步扩大研究工作的机会。
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 multidimensional 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.