Construction of Double-Layer Knowledge Coordination Network for Product Quality Problem Solving

Product quality problems are becoming increasingly complex with the increasing richness of product types and functions, making it challenging to solve only personal knowledge effectively. Thus, we propose an approach extract solution from problem-solving data improve efficiency problem-solving. Specifically, by analyzing characteristics data, a method for calculating membership degree nodes is first designed. The corresponding triads constructed based on relationship between structures. Subsequently, build double-layer coordination network (DL-KCN) composed problem layer layer. Finally, using generated during stamping production process body-in-white automobile manufacturing enterprise, DL-KCN practical application significance constructed. beneficial problem-solvers address problems.