Multiple Manufacturing Processing Target Value Setting Models: A Case Study on Grinding and Polishing Processes of the Electric Vehicle Motor Shaft

摘要

Aiming to reduce the social-economic loss caused by deficient products, the processing target value setting requirements must be achieved through multiple manufacturing processes. Meanwhile, the processing target value setting for each step must properly match its own manufacturing process capability so as to lower the ratios of process scrap and rework. Consequently, the quality of the final product can be ensured to reduce social-economic loss, such as carbon emissions caused by faulty maintenance after sales. By means of the production data analysis as well as quality engineering, this study discovered the best conditions for multiple manufacturing processes and then adopted the genetic neural networks method to estimate the optimal stable-process standard deviation for each processing step. Next, according to the aforementioned optimal process standard deviation, the reasonable target value of each processing step was determined by the processing target value and the process capability set in the final product. Finally, this study provided the multiple-process capability analysis chart to evaluate the process capability after experiment. The processing of the green electric vehicle motor was taken as an example to explain the application of the reasonable processing target value setting model mentioned in this study.