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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Systemic risk mitigation in supply chains through network rewiring.

Giacomo Zelbi1, Leonardo Niccolò Ialongo1,2, Stefan Thurner3,4,5,6

  • 1Complexity Science Hub Vienna, 1030, Vienna, Austria.

Scientific Reports
|March 5, 2026
PubMed
Summary
This summary is machine-generated.

Supply chain disruptions stem from network structures. Rewiring supplier links can reduce systemic risk by 16-50% without impacting production, enhancing overall supply chain resilience.

Keywords:
Monte Carlo simulationProduction networksResilienceSupply chain rewiringSystemic risk

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Area of Science:

  • Network science
  • Supply chain management
  • Statistical physics

Background:

  • Supply chains are vulnerable to systemic risk due to interdependencies, leading to cascading disruptions.
  • Systemic risk in supply chain networks (SCN) is quantifiable and linked to network topology and dynamics, but the specific contribution of topology is unclear.

Purpose of the Study:

  • To investigate if rewiring supplier-customer pairs can significantly reduce systemic risk in supply chains.
  • To quantify the impact of network topology on systemic risk and assess the effectiveness of targeted network modifications.

Main Methods:

  • Quantified systemic risk in supply chain networks (SCN).
  • Employed a statistical physics method to minimize systemic risk while respecting firm production constraints.
  • Analyzed subnetworks of national SCNs from Ecuador and Hungary.

Main Results:

  • Systemic risk was reduced by 16-50% through rewiring supplier-customer pairs, without affecting firm production output.
  • Risk reduction was achieved by altering network connectivity in significant ways.
  • The study identified that current SCN topologies possess unnecessarily high levels of systemic risk.

Conclusions:

  • Targeted rewiring of supplier relationships can substantially enhance supply chain resilience.
  • Network topology plays a critical role in determining systemic risk levels.
  • Resilience improvements comparable to natural network evolution can be achieved through strategic supplier modifications.