Towards Sustainable and Resilient Industry 5.0 Production Systems with a Digital Twin-Enabled Circular Economy Approach

Manufacturing systems must simultaneously reduce resource intensity and maintain operational continuity under disruption, yet most real-time control architectures do not incorporate circular-economy and resilience objectives within production decision making. This study develops and evaluates a Digital Twin (DT) framework that functions as a decision engine for Industry 5.0 production systems rather than as a monitoring-only representation. In this framework, the DT remains synchronized with the physical line through live IoT data, a credibility gate that suspends prescriptive actions when synchronization error exceeds acceptable bounds, a provenance ledger that records material recovery events, and a multi-objective scheduler that balances energy consumption, waste generation, and delivery delay under human approval. Circularity is operationalized as the share of material recovered through reuse or recycling, whereas resilience is quantified as normalized recovery performance following a disruption. Using a design science approach, the framework was implemented for six months on an operating electronics manufacturing line in Riyadh, Saudi Arabia, covering 3,048 production lots. The evaluation combined a two-month baseline, a four-month intervention period, and disruption scenarios for supplier delay, machine breakdown, and quality shift events. The intervention reduced energy intensity by 14.4%, decreased weekly downtime by 23.9%, and increased overall equipment effectiveness by 5.0% while maintaining product quality. The circularity rate increased from 0.23 to 0.33, with larger gains for packaging and casings than for printed circuit boards because of component-specific reuse constraints. Resilience scores increased from 0.71 to 0.82, indicating faster recovery from supply and equipment disruptions. These findings show that a traceable, credibility-gated, human-supervised DT can align shop-floor decisions with circularity and resilience objectives, although the reported gains should be interpreted in light of the single-line pilot context.

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Publication Details

Journal
International Journal of Industrial Engineering and Management
Published
2026-11-05
DOI
https://doi.org/10.24867/ijiem-424
Primary Topic
Digital Transformation in Industry
Type
article
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article

Towards Sustainable and Resilient Industry 5.0 Production Systems with a Digital Twin-Enabled Circular Economy Approach

Ragu Prasadh Rajendran
International Journal of Industrial Engineering and Management
Digital Transformation in Industry
article

Towards Sustainable and Resilient Industry 5.0 Production Systems with a Digital Twin-Enabled Circular Economy Approach

Ragu Prasadh Rajendran
article en

Abstract

Manufacturing systems must simultaneously reduce resource intensity and maintain operational continuity under disruption, yet most real-time control architectures do not incorporate circular-economy and resilience objectives within production decision making. This study develops and evaluates a Digital Twin (DT) framework that functions as a decision engine for Industry 5.0 production systems rather than as a monitoring-only representation. In this framework, the DT remains synchronized with the physical line through live IoT data, a credibility gate that suspends prescriptive actions when synchronization error exceeds acceptable bounds, a provenance ledger that records material recovery events, and a multi-objective scheduler that balances energy consumption, waste generation, and delivery delay under human approval. Circularity is operationalized as the share of material recovered through reuse or recycling, whereas resilience is quantified as normalized recovery performance following a disruption. Using a design science approach, the framework was implemented for six months on an operating electronics manufacturing line in Riyadh, Saudi Arabia, covering 3,048 production lots. The evaluation combined a two-month baseline, a four-month intervention period, and disruption scenarios for supplier delay, machine breakdown, and quality shift events. The intervention reduced energy intensity by 14.4%, decreased weekly downtime by 23.9%, and increased overall equipment effectiveness by 5.0% while maintaining product quality. The circularity rate increased from 0.23 to 0.33, with larger gains for packaging and casings than for printed circuit boards because of component-specific reuse constraints. Resilience scores increased from 0.71 to 0.82, indicating faster recovery from supply and equipment disruptions. These findings show that a traceable, credibility-gated, human-supervised DT can align shop-floor decisions with circularity and resilience objectives, although the reported gains should be interpreted in light of the single-line pilot context.

International Journal of Industrial Engineering and ManagementVol. 17(4)
Presidency University (IN)
Openalex Percentile: Top 18%
Digital Transformation in Industry
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Towards Sustainable and Resilient Industry 5.0 Production Systems with a Digital Twin-Enabled Circular Economy Approach — Ragu Prasadh Rajendran · International Journal of Industrial Engineering and Management (2026) | TGRS Research Map | TGRS