Abstract—Firstly, the information of the workpiece is collected into the MES (Manufacturing Execution System) system, the control charts are drawn according to the process quality data, and the network model based on the abnormal pattern recognition of the control charts is established. The PSO algorithm is improved by referring to the linear mutation operator to optimize the parameters of the BP algorithm. The output error is minimized. Then, the improved PSO-BP algorithm is used to identify the abnormal pattern and find the problems in production and stop processing. Finally, the experimental results show that compared with the BP algorithm and the PSO-BP algorithm, the improved PSO-BP algorithm has improved both accuracy and speed, and provides a viable solution for quality control of medical device manufacturing processes.
Index Terms—Medical device, process, SPC, improved pso-bp algorithm, quality control.
Weihong Sun, Jingwen Ma, and Man Liang are with the College of Mechanical and Electrical Engineering, China Jiliang University, No.258, Xueyuan Street, Xiasha Advanced Education Park, 310018 Hangzhou, China (Corresponding Author: Weihong Sun; e-mail: whsun@126.com, 15382357130@163.com, 18A0104152@cjlu.edu.cn).
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Cite: Weihong Sun, Jingwen Ma, and Man Liang, "Research on Quality Control of Medical Device Production Process," International Journal of Materials, Mechanics and Manufacturing vol. 7, no. 3, pp. 133-137, 2019.
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