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Complex Supply Networks

Yunbo Long 456 words 3 minutes Network Science Resilience Risk Management

Complex supply networks represent a growing area of research that applies network science to understand the structural properties and emergent behaviours of modern supply chains. Unlike traditional linear models of supply chains, network-based perspectives capture the intricate web of relationships between suppliers, manufacturers, distributors, and customers—revealing patterns that are invisible at the firm level.

Key research questions in this field include: How do network structures influence the propagation of disruptions? What makes certain supply networks more resilient than others? How can firms identify critical nodes and bottlenecks? By applying tools from graph theory, statistical physics, and computational network analysis, researchers have uncovered important insights about clustering, centrality, and the scale-free properties of real supply networks.

Pioneering work from researchers at institutions including the Supply Chain AI Lab at the University of Cambridge has demonstrated that supply networks exhibit complex topological features—such as community structure and small-world properties—that have direct implications for risk management and operational strategy.

We invite you to explore the curated collection of key publications below, tracing the development of complex network approaches in supply chain research.

List of Publications

  1. Brintrup, A., Wang, Y. and Tiwari, A., 2017. Supply networks as complex systems: A network-science-based characterization. IEEE Systems Journal, 11(4), pp.2170-2181. [PDF]
  2. Ledwoch, A., Brintrup, A., Mehnen, J. and Tiwari, A., 2018. Systemic risk assessment in complex supply networks. IEEE Systems Journal, 12(2), pp.1826-1837. [PDF]
  3. Perera, S., Bell, M.G.H. and Bliemer, M.C.J., 2017. Network science approach to modelling the topology and robustness of supply chain networks: A review and perspective. Applied Network Science, 2(33). [PDF]
  4. Choi, T.Y., Dooley, K.J. and Rungtusanatham, M., 2001. Supply networks and complex adaptive systems: Control versus emergence. Journal of Operations Management, 19(3), pp.351-366. [PDF]
  5. Kim, Y., Chen, Y.S. and Linderman, K., 2015. Supply network disruption and resilience: A network structural perspective. Journal of Operations Management, 33-34, pp.43-59. [PDF]
  6. Bellamy, M.A., Ghosh, S. and Hora, M., 2014. The influence of supply network structure on firm innovation. Journal of Operations Management, 32(6), pp.357-373. [PDF]
  7. Craighead, C.W., Blackhurst, J., Rungtusanatham, M.J. and Handfield, R.B., 2007. The severity of supply chain disruptions: Design characteristics and mitigation capabilities. Decision Sciences, 38(1), pp.131-156. [PDF]