Strengthening Supply Chain Resilience Using Digital Twin Models in Manufacturing Industries
Keywords:
Digital Twin, Supply Chain Resilience, Smart Manufacturing, Industry 4.0, Predictive AnalyticsAbstract
The increasing complexity and volatility of global supply chains have accelerated the need for digital resilience strategies. Digital Twin (DT) technology provides a dynamic, data-driven mirror of physical manufacturing systems, enabling real-time monitoring, simulation, and predictive analytics to enhance supply chain robustness. This paper explores the integration of digital twins into manufacturing supply chains, focusing on their role in improving visibility, risk mitigation, and adaptive decision-making. A structured framework is presented to illustrate how digital twin models contribute to operational continuity and resilience in uncertain environments.
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Copyright (c) 2026 Marlene Franke, Juliana Duarte (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
