Integrating Digital Twins (DTs) within supply chain management offers transformative potential for optimizing operations, enhancing decision-making, and fostering resilience. However, existing literature often lacks practical insights into assessing their maturity. This paper addresses these gaps by proposing a comprehensive Maturity Model (MM) tailored for supply chain DT development. The proposed MM is applied to real-world case studies, highlighting its utility in evaluating DT readiness and guiding implementation. Key challenges, including modeling capabilities, data and system integration, and stakeholders' collaboration, are discussed alongside strategies for overcoming them. This research provides practitioners with actionable insights for building robust DT architectures, enabling organizations to leverage the full potential of digital transformation while ensuring scalability and sustainability.
Implementing Digital Twins in Supply Chain Management: A Maturity Model / Zenezini, Giovanni; Lagorio, Alexandra; Mangano, Giulio; Pinto, Roberto; Rafele, Carlo. - 59:(2025), pp. 1516-1521. ( 11th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2025 Norwegian University of Science and Technology (NTNU), nor 2025) [10.1016/j.ifacol.2025.09.255].
Implementing Digital Twins in Supply Chain Management: A Maturity Model
Zenezini, Giovanni;Lagorio, Alexandra;Mangano, Giulio;Rafele, Carlo
2025
Abstract
Integrating Digital Twins (DTs) within supply chain management offers transformative potential for optimizing operations, enhancing decision-making, and fostering resilience. However, existing literature often lacks practical insights into assessing their maturity. This paper addresses these gaps by proposing a comprehensive Maturity Model (MM) tailored for supply chain DT development. The proposed MM is applied to real-world case studies, highlighting its utility in evaluating DT readiness and guiding implementation. Key challenges, including modeling capabilities, data and system integration, and stakeholders' collaboration, are discussed alongside strategies for overcoming them. This research provides practitioners with actionable insights for building robust DT architectures, enabling organizations to leverage the full potential of digital transformation while ensuring scalability and sustainability.Pubblicazioni consigliate
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https://hdl.handle.net/11583/3008775
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