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Factory Digitalization Ver13. “How to Incorporate Seasonal Factors into AI Learning”
This article explains why foundries are strongly affected by seasonal changes and how temperature, humidity, and weather influence casting quality. It also describes the challenges of teaching AI seasonal patterns when product cycles are short, and why long‑term production enables highly effective seasonal AI that can reduce recurring summer defects.

Shigenori Tanaka
5月27日読了時間: 2分


Factory Digitalization Ver12. “Operational Decisions When AI Prescriptions Contradict Internal Standards”
AI prescriptions sometimes contradict internal standards because past out‑of‑standard operations accidentally hit the quality sweet spot. This article explains why contradictions occur, how to visualize them, and how companies should define priority rules and responsibility.

Shigenori Tanaka
5月8日読了時間: 2分
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