TY - GEN
T1 - A Method of Quality Improvement Based on Big Quality Warranty Data Analysis
AU - Pan, Xing
AU - Zhang, Manli
AU - Chen, Xi
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - Quality warranty data includes big data of product use and customer services, which is foundation of product quality and reliability improvement. This paper presents a method of quality warranty data analysis, which is based on the big data analysis technology. By means of the method of association rules mining, it distinguishes the association rules of failure modes while feeding back the information to the process of product design, production, and usage. To achieve product fault location and fault disposal, the key factors such as fault type and fault cause are analyzed. Meanwhile, this paper adopted the principles of PDCA circulation to propose a procedure of product quality improvement. The quality improvement procedure based on quality warranty data analysis provides a comprehensive and systematic quality improvement for different stages and different types of products. Finally, a case study of household appliances in China is given to illustrate the method.
AB - Quality warranty data includes big data of product use and customer services, which is foundation of product quality and reliability improvement. This paper presents a method of quality warranty data analysis, which is based on the big data analysis technology. By means of the method of association rules mining, it distinguishes the association rules of failure modes while feeding back the information to the process of product design, production, and usage. To achieve product fault location and fault disposal, the key factors such as fault type and fault cause are analyzed. Meanwhile, this paper adopted the principles of PDCA circulation to propose a procedure of product quality improvement. The quality improvement procedure based on quality warranty data analysis provides a comprehensive and systematic quality improvement for different stages and different types of products. Finally, a case study of household appliances in China is given to illustrate the method.
KW - Association rules
KW - Big data analysis
KW - PDCA
KW - Quality improvement
KW - Quality warranty data
UR - https://www.scopus.com/pages/publications/85052542391
U2 - 10.1109/QRS-C.2018.00115
DO - 10.1109/QRS-C.2018.00115
M3 - 会议稿件
AN - SCOPUS:85052542391
SN - 9781538678398
T3 - Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
SP - 643
EP - 644
BT - Proceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
Y2 - 16 July 2018 through 20 July 2018
ER -