Publication

Abstract : The investigation of Circular Economy (CE) and the Internet of Things (IoT) has grown in popularity in the past few decades due to their potential to link innovative technologies with novel circular industry production and business models. Although numerous scientific studies have emphasized the potential of the Internet of Things (IoT) in advancing Circular Economy (CE), further research is required to establish systematic IoT approaches for promoting circular practices. The study develops a comprehensive framework for efficient circular textile economy practices using insights from data acquired through the triangulation approach. The proposed model, built on non-intrusive and wearable textile-based communicative sensors, enables efficient textile circular economy recall practices in any business setting and fosters Circular Economy evolution and sustainability transition in any business setting. The proposed wearable framework for unobtrusive textile life cycle analysis addresses circular economy implementation best practices, promotes sustainability, and mitigates long-term environmental, social, and economic consequences. As a crucial enabler, this innovative network investigates textile life cycle analysis to enhance resource efficiency, extend textile lifespan, and narrow the material loop. Integrating IoT technology with a low-cost, scalable network of intelligent sensors enables real-time traceability throughout the textile value chain, replacing take-make-waste textiles with wireless sensor networks to provide reliable data for every lifecycle phase. The results can contribute to future research by inspiring and concretizing the design facets of proposed IoT-supported wearable communication textile-based sensors and actuators to demonstrate their effectiveness in real-time textile life cycle analysis.