Digital Twins - Innovative Supply Chain for "What-If" Analysis powered by Data Analytics

Author(s)	Sivasubramanian Kalaiselvan
Country	United States
Abstract	Modern supply chains are navigating an era of unprecedented volatility, marked by geopolitical instability, climate-related disruptions, and fluctuating consumer demand. Traditional planning systems, often siloed and reliant on historical data, are ill-equipped to provide the foresight necessary for resilient operations. This white paper introduces the concept of the Supply Chain Digital Twin as a transformative solution. A Digital Twin is a dynamic, virtual replica of the end-to-end supply chain, powered by real-time data from IoT, ERP, and other enterprise systems. By integrating advanced data analytics, simulation, and optimization engines, the Digital Twin enables organizations to conduct powerful "what-if" analyses. This allows decision-makers to model the impact of potential disruptions, test new strategies, and optimize performance proactively. This paper details the framework, capabilities, and implementation of a Supply Chain Digital Twin, demonstrating its critical role in building agile, intelligent, and sustainable supply chains for the future.
Keywords	Digital Twin, Supply Chain Management, What-If Analysis, Data Analytics, SAP Integrated Business Planning (IBP), Simulation, Optimization, Supply Chain Resilience.
Field	Engineering
Published In	Volume 5, Issue 1, January-February 2023
Published On	2023-01-07
DOI	https://doi.org/10.36948/ijfmr.2023.v05i01.61070

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