Title:
Application Methods of Digital Twin Technology in Quality Control and Management of Customised Furniture
Research subject and fields:
Abstract:
Digital twin technology enables intelligent manufacturing and supports digital transformation. However, its use in customised furniture quality control is limited, due to issues such as inefficient traceability, slow response times, and predictive barriers. To address the fragmented quality management across stages, this study introduces a comprehensive framework that extends digital twins beyond workshops to the entire product lifecycle – design, warehousing, production, and after-sales. Adopting a design science research approach, we have developed a digital twin model for workshop quality control and a full lifecycle management approach, focused on three key pillars: lifecycle quality data management, high-fidelity virtual simulation, and real-virtual interaction. It thereby establishes a pathway to improve the accuracy and efficiency of quality control, which can lower costs, shorten delivery cycles, and accelerate digital transformation for furniture enterprises.