相互依存
弹性(材料科学)
供应链
涟漪
风险分析(工程)
供应链风险管理
业务
供应网络
供应链管理
计算机科学
工程类
服务管理
营销
材料科学
功率(物理)
电气工程
物理
电压
量子力学
政治学
法学
复合材料
作者
Lei Zhang,Xavier Brusset,Yizhong Ma,Fengxia Zhang,Peirui Qiao
标识
DOI:10.1080/00207543.2024.2347561
摘要
Firms painstakingly assemble vast supply networks of cyber and physical interdependence. Wars, pandemics, and cyber-attacks have disrupted and rippled recently through these networks. The ripple effect in interdependent networks can be caused by functional and structural failures simultaneously, known as mixed ripple effects, which have been studied less in the past. To help managers enhance network resilience against mixed ripple effects, we propose a design and protection strategy from a network structure perspective. This paper is the first to propose a growth-maturity-decline (GMD) model for designing an interdependent network structure. Then, a protection strategy based on node collaboration and redundancy is proposed. Considering that a single resilience metric makes it difficult to distinguish the performance of different strategies, we develop a three-dimensional quantitative framework to evaluate network resilience by conducting case studies on synthetic and real-life supply chain networks. The simulation results indicate that (i) the GMD model enhances network resilience at different phases; (ii) the threshold of the upper capacity limit parameter for cyber-supply networks is 2.7; and (iii) the more uniform the role distribution of firms, the more resilient the network is. This study can provide more informed management decision support for improving network resilience.
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