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Supply chain risk propagation is a cascading effect of risks on global supply chain networks. The paper attempts to measure the behaviour of risks following the assessment of supply chain risk propagation. Bayesian network theory is used to analyse the multi-echelon network faced with simultaneous disruptions. The ripple effect of node disruption is evaluated using metrics like fragility, service level, inventory cost and lost sales. Developed risk exposure and resilience indices support in assessing the vulnerability and adaptability of each node in the supply chain network. The research provides a holistic measurement approach for predicting the complex behaviour of risk propagation for improved supply chain risk management.
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Ritesh Ojha
Abhijeet Ghadge
Manoj Kumar Tiwari
International Journal of Production Research
Indian Institute of Technology Kharagpur
Heriot-Watt University
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Ojha et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69d8455152654bb436d18f1a — DOI: https://doi.org/10.1080/00207543.2018.1467059