The Digital Backbone of Modern Supply Chains: Enabling Technologies for Digital Twins

Modern supply chains face significant challenges related to complexity and vulnerability, necessitating advanced solutions for enhanced resilience and operational efficiency. Digital twins, serving as dynamic virtual counterparts to physical supply chain systems, present a powerful approach for real-time monitoring, sophisticated analysis, and optimized control. This chapter provides an in-depth examination of the core enabling technologies—specifically the Internet of Things (IoT), cloud computing, data analytics (including AI/ML), simulation modeling, and blockchain—that collectively form the essential digital backbone for implementing effective supply chain digital twins. We analyze the distinct role of each technology: IoT for real-time data capture, cloud computing for scalable infrastructure, data analytics for deriving predictive and prescriptive insights, simulation modeling for dynamic “what-if” analysis and optimization, and blockchain for ensuring data integrity and facilitating secure multiparty collaboration. Emphasis is placed on analyzing the crucial synergy that arises from the convergence of these technologies, demonstrating how their integration underpins the advanced capabilities required to accurately mirror, predict, and manage complex supply chain dynamics. By synthesizing insights from academic literature and referencing documented applications, the chapter illustrates the tangible benefits of leveraging these integrated technologies, including improved visibility, enhanced decision-making, optimized performance, increased resilience, and fostered trust. Ultimately, this chapter underscores the indispensable nature of this technological convergence in realizing the transformative potential of digital twins for contemporary supply chain management.