Digital twin-driven supply chain quality management for strengthening manufacturing resilience: a scoping review

Purpose This study examines how digital twins (DT) enhances supply chain quality management (SCQM) and manufacturing resilience. Specifically, the study investigates the quality management and resilience capabilities enabled through DT adoption and identifies the organizational, technological and process-related prerequisites necessary for effective DT-enabled SCQM. Design/methodology/approach A scoping review was conducted to systematically map existing literature on DT applications in SCQM. A total of 23 peer-reviewed articles published in supply chain quality management, digital twin and cyber-physical system domains were analyzed. The review focused on identifying patterns in DT adoption, quality and resilience outcomes and enabling organizational and technological factors. Drawing on information processing theory (IPT), the study examines how DT capabilities align with organizational information processing needs under uncertainty and supply chain quality variability. Findings The findings indicate that DTs enhance SCQM through real-time monitoring, predictive quality analytics, simulation-driven decision support and continuous process optimization. DT-enabled organizations demonstrate improved visibility, faster response to disruptions, enhanced quality control and increased supply chain resilience. Effective implementation depends on integrated IT infrastructure, standardized and interoperable data systems, cross-functional collaboration and process integration across supply chain partners. The study further identifies maturity progression from foundational monitoring and integration capabilities toward predictive, prescriptive and resilience-oriented SCQM systems. Originality/value This study advances the theoretical understanding of DT-enabled SCQM by integrating digital twin, resilience, and quality management perspectives through an IPT lens. It proposes a digital twin maturity framework and an IPT–DT alignment framework that explain how organizations align digital twin capabilities with information processing requirements. The study also provides actionable guidance for practitioners seeking to enhance supply chain quality performance and resilience through DT adoption.