This research is based on the concept of smart manufacturing, with the case of a motor manufacturing line. Explore the relationship between the project content in the finished motor data and all processes of pre-engineering, coils, and assembly. The objective of this study is to improve the efficiency of motor quality control inspection. The method is mainly to use expert interviews and secondary data to collect case company data. This study finds that: 1. This research is based on the initial 88 testing items, of which 14 items can be referenced in the motor manufacturing process. 2. This study proposes the relevant parts and production steps corresponding to these 14 items, which can evaluate the error points from the values of the motor finished product inspection items and simplify the time spent in quality control inspection. Finally, this study proposes practical implications and future research recommendations.