![[Data Science Utilization Case] Improvement and Automation of Inspection Processes 2](https://image.mono.ipros.com/public/product/image/561/2000962779/IPROS45984857735921857286.png?w=280&h=280)
[Data Science Utilization Case] Improvement and Automation of Inspection Processes 2
I want to reduce investment in inspection equipment! Examples of improving throughput in functional testing.
We would like to introduce a case study on the improvement and automation of inspection processes in the manufacturing industry. There was a challenge to reduce the number of functional inspections conducted multiple times on production lots of electronic components, improve throughput, and limit investment in inspection equipment. To address this, we used information from the first inspection to predict the results of the second inspection using AI. Lots that were deemed sufficient after the first inspection were stopped there, thereby improving throughput in functional inspections. 【Case Overview】 ■Industry: Manufacturing ■Business: Quality Inspection ■Challenges: Production Efficiency, Operational Efficiency, Quality Assessment ■Analytics/AI Solution - By stopping inspections for lots deemed sufficient after the first inspection, we improved throughput in functional inspections. *For more details, please refer to the PDF document or feel free to contact us.
![[Data Science Utilization Case] Improvement and Automation of Inspection Processes 1](https://image.mono.ipros.com/public/product/image/a28/2000962774/IPROS38846083635636184137.png?w=280&h=280)
