A digital twin framework development for apparel manufacturing industry

The apparel manufacturing industry faces challenges due to fast-changing fashion trends, increased product variety, and personalized demands. Quick and optimized decision-making is crucial to overcome these barriers. This study aims to develop a methodology for applying Digital Twin (DT) technology in apparel manufacturing plants. We demonstrate the applicability and exhibit efficacy of the proposed method by presenting a case study on implementing the DT technology at a sewing assembly line. The proposed approach provides step-by-step guidance, collecting real-time data and conducting dynamic simulations to reduce bottleneck operations. DT technology assists in decision-making, enabling apparel manufacturing plants to respond quickly to changing demands and to reduce bottleneck operations. This study demonstrates the effectiveness of the proposed methodology by reducing downtime and improving production efficiency. The proposed method can improve production efficiency, reduce downtime, and respond quickly to changing demands in the apparel manufacturing industry.