A Method of Quality Improvement Based on Big Quality Warranty Data Analysis

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.