TY - JOUR
T1 - Construction of Double-Layer Knowledge Coordination Network for Product Quality Problem Solving
AU - Wang, Yubin
AU - Xu, Zhaoguang
AU - Dang, Yanzhong
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2022
Y1 - 2022
N2 - Product quality problems are becoming increasingly complex with the increasing richness of product types and functions, making it challenging to solve quality problems with only personal knowledge effectively. Thus, we propose an approach to extract solution knowledge from quality problem-solving data to improve the efficiency of quality problem-solving. Specifically, by analyzing the characteristics of the data, a method for calculating the membership degree of quality knowledge nodes is first designed. The corresponding quality knowledge triads are constructed based on the relationship between the data structures. Subsequently, we build a double-layer knowledge coordination network (DL-KCN) composed of a problem layer and a solution layer. Finally, using the quality problem-solving data generated during the stamping production process of the body-in-white of an automobile manufacturing enterprise, a DL-KCN with practical application significance is constructed. The DL-KCN is beneficial for problem-solvers to address product quality problems.
AB - Product quality problems are becoming increasingly complex with the increasing richness of product types and functions, making it challenging to solve quality problems with only personal knowledge effectively. Thus, we propose an approach to extract solution knowledge from quality problem-solving data to improve the efficiency of quality problem-solving. Specifically, by analyzing the characteristics of the data, a method for calculating the membership degree of quality knowledge nodes is first designed. The corresponding quality knowledge triads are constructed based on the relationship between the data structures. Subsequently, we build a double-layer knowledge coordination network (DL-KCN) composed of a problem layer and a solution layer. Finally, using the quality problem-solving data generated during the stamping production process of the body-in-white of an automobile manufacturing enterprise, a DL-KCN with practical application significance is constructed. The DL-KCN is beneficial for problem-solvers to address product quality problems.
KW - Quality management
KW - automobile manufacturing
KW - double-layer knowledge coordination network
KW - knowledge management
KW - quality problem solving
UR - http://www.scopus.com/inward/record.url?scp=85135229167&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2022.3190882
DO - 10.1109/ACCESS.2022.3190882
M3 - Article
AN - SCOPUS:85135229167
SN - 2169-3536
VL - 10
SP - 74483
EP - 74494
JO - IEEE Access
JF - IEEE Access
ER -