Digital Twins for Real-Time Supply Chain Visibility and Optimization

With this regular paper, the author wants to share his experience and practical application of the approach to increase supply chain visibility and make better decisions with the use of digital twin technology. A Digital Twin is an application of virtual replication to a physical learning element or system where monitoring and evaluation can take place. Consequently, by collecting real-time information from IoT devices and applying AI-based predictive models, the real-life supply chain digital twin model discussed in this paper leads to proper analysis of supply chain events and proper process control and optimization. Based on the results of this research, it has been found that cost is decreased to a higher percentage, lead time which is the time taken to deliver goods to its end user is relatively small, also the supply chain is more effective. According to this study, integrating digital twin technologies into the context of supply chain operations may indeed signify a shift in paradigm, and it is grounded and offers practical recommendations in this context, promising better decision-making performance. Some of the advantages to be accrued from this decision include; Exchange organization operations have increased effectiveness, the costs have gone down and Balanced risks have been realized.