供应网络中断与韧性:一种网络结构视角

Supply network disruption and resilience: A network structural perspective

JOURNAL OF OPERATIONS MANAGEMENT · 2014
被引 739 · 同刊同年前 8%
人大 AFT50UTD24ABS 4*

中文导读

从网络结构角度研究供应网络中断与韧性,比较四种基本网络结构,发现节点/弧中断不必然导致网络中断,且网络结构显著影响中断概率,幂律结构韧性更强。

Abstract

Abstract Increasingly, scholars recognize the importance of understanding supply network disruptions . However, the literature still lacks a clear conceptualization of a network‐level understanding of supply disruptions. Not having a network level understanding of supply disruptions prevents firms from fully mitigating the negative effects of a supply disruption. Graph theory helps to conceptualize a supply network and differentiate between disruptions at the node/arc level vs. network level. The structure of a supply network consists of a collection of nodes (facilities) and the connecting arcs (transportation). From this perspective, small events that disrupt a node or arc in the network can have major consequences for the network. A failure in a node or arc can potentially stop the flow of material across network. This study conceptualizes supply network disruption and resilience by examining the structural relationships among entities in the network. We compare four fundamental supply network structures to help understand supply network disruption and resilience. The analysis shows that node/arc‐level disruptions do not necessarily lead to network‐level disruptions, and demonstrates the importance of differentiating a node/arc disruption vs. a network disruption. The results also indicate that network structure significantly determines the likelihood of disruption. In general, different structural relationships among network entities have different levels of resilience. More specifically, resilience improves when the structural relationships in a network follow the power‐law . This paper not only offers a new perspective of supply network disruption, but also suggests a useful analytical approach to assessing supply network structures for resilience.

供应链管理网络分析韧性图论风险管理