| dc.description.abstract | The main development directions of today′s manufacturing industry are Industry 4.0, smart manufacturing and automation. The implementation of these strategies aims to save manpower, reduce costs and improve production efficiency. For example, Networking Industry D Company has transformed its production process into automation and introduced Wi-Fi 6 products for automated testing. However, the yield rate of automated testing has not been steadily improved.
To solve this problem, this study adopts the method of combining QC STORY with TRIZ theory of innovation and invention. Through the problem-solving QC STORY to analyze the problem and collect data, it is found that the problem of the low yield rate of the automated test is caused by the PCB Co-Lay layout and weak structure of the automated test tools. For these reasons, this research uses QC STORY to analyze the problem and provide improvement plan. In addition, the research also uses 39 engineering parameters, contradiction matrix and 40 invention principles in TRIZ theory to propose innovative solutions and conduct experimental verification. The results show that this method does effectively improve the automated test yield.
Based on the above, this study uses the method of combining QC STORY and TRIZ theory to successfully improve the test items with high defect rate in the FT station and Cal_5GH station, achieving an improvement rate of 51.6% and 48.7% respectively. It is estimated that the overall one-year improvement benefit can reach USD$604,800. Through the problem analysis of QC STORY and the innovative solutions of TRIZ theory, enterprises can find the core of the problem and propose innovative and feasible solutions. This method is also applicable to the problem solving of other manufacturing enterprises, which can improve production efficiency, reduce costs, and thus enhance the competitiveness of enterprises. | en_US |