Activity Highlights
Published: January 27, 2026
MiDFUN Shares AIQ Smart Quality Analysis at the 2026 Smart Manufacturing Forum
MiDFUN was invited to the 2026 Smart Manufacturing Forum in Taichung, where Deputy Manager Chi-Tang Cheng shared how AIQ smart quality analysis helps manufacturers connect quality results with process parameters and reduce equipment-tuning trial-and-error.
Context
A common manufacturing problem
As equipment ages, the best production settings may no longer match the parameters used when the machine was new. Engineers often spend time on repeated trial-and-error because the adjustment direction is difficult to judge from experience alone.
How AIQ helps
AIQ combines quality results and process parameters to train predictive models. The system can help identify suitable operating ranges and support decisions such as pressure or parameter adjustments that improve output quality.
After-session discussion
After the presentation, manufacturers asked about AIQ integration with existing SPC systems, project timelines, and return on investment, showing strong interest in practical AI quality analysis.
