Abstract—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.
Index Terms—Motor production, test indicators, qualitative
research methods.
Yao-Chin Lin, Ching-Chun Yeh, Wei-Hung Chen, and Jyun-Jie Wang are
with the Department of Information Management, Yuan Ze University,
Taoyuan City, Taiwan (e-mail: lyaochin@gmail.com,
solen888@mail.solen.com.tw, wehchen123@gmail.com,
wjj2245@gmail.com).
Yi-Shien Yang is with the Solen Electric Company, Taiwan (e-mail:
solen888@mail.solen.com.tw).
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Cite: Yao-Chin Lin, Ching-Chun Yeh, Yi-Shien Yang, Wei-Hung Chen, and Jyun-Jie Wang, "The Investigation of Motor Production Test Indicators in Qualitative Research Methods," International Journal of Materials, Mechanics and Manufacturing vol. 8, no. 3, pp. 131-137, 2020.
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (
CC BY 4.0).