Product Quality Forecast Analysis

We will assist in building a system that achieves quality improvement by exploring the optimal combinations of various setting parameters for production equipment.

In the manufacturing field, it is not an exaggeration to say that improving product quality and yield is one of the factors that can influence management. By linking the quality of products with the condition of equipment through data, and applying the optimal parameters to manufacturing devices based on the statistical data obtained from this, we can achieve yield improvement and high-quality manufacturing. 【Expected Issues】 - Young team members struggle to create effective experimental plans in product development. - It is unclear which parameters influence product quality, making it difficult to determine what to modify to improve performance. 【Expected Effects】 - Reduction of work time through semi-automated generation of experimental plans using experimental planning knowledge AI. - Performance improvement through the extraction of quality-determining parameters via factor analysis.

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