Network Analytics and Digital Twin: Identifying and Mitigating Risks in Defence Supply Chain and Logistics

Authors: Singupuram, Vamsi; Agrawal, Shreya; Guha, Saurabh

TCG_Digital_Logistics-Network_Analytics_and_Digital_Twin_for_Risk_Mitigation _v1 (tcgdigital.com)

Abstract: Digital twin is at the heart of Industry 4.0 solutions for Supply Chain. Equipped with an intricately mapped supply chain network, a digital twin can enable organizations to simulate possible scenarios and identify possible choke points as well as predict and respond to shocks in real-time. This white paper starts with an introduction to familiarize readers with the kinds of supply chain shocks that an organization must prepare for. It then proposes a recursive approach to map a supply chain network and provides a framework for defining the components of the network, before describing a digital twin that can effectively harness the potential of the mapped supply chain network. Finally, it touches upon the stress testing methods that can be used to predict shocks to unlock value from the digital twin.

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