2020/05/21 by Dmitry Ivanov, Alexandre Dolgui · 21 citations
Business, Management and Accounting · Engineering · #Supply Chain Resilience and Risk Management #Digital Transformation in Industry #Quality and Supply Management
paper · doi:10.1080/09537287.2020.1768450
openalex publication_date 2020/05/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
We theorize a notion of a digital supply chain (SC) twin – a computerized model that represents network states for any given moment in real time. We explore the conditions surrounding the design and implementation of the digital twins when managing disruption risks in SCs. The combination of model-based and data-driven approaches allows uncovering the interrelations of risk data, disruption modeling, and performance assessment. The SC shocks and adaptations amid the COVID-19 pandemic along with post-pandemic recoveries provide indisputable evidences for the urgent needs of digital twins for mapping supply networks and ensuring visibility. The results of this study contribute to the research and practice of SC risk management by enhancing predictive and reactive decisions to utilize the advantages of SC visualization, historical disruption data analysis, and real-time disruption data and ensure end-to-end visibility and business continuity in global companies.