
Last modified: 2026-01-20 11:12:38
In this session, we will present recent actual use cases of advanced technologies such as AI and digital twins in the chemical industry, sharing the challenges and future prospects of on-site implementation, and discussing how digital innovation can maximize operational efficiency, support sustainable growth, and strengthen competitiveness.
| Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
|---|---|---|---|---|---|
| Hall A, Day 3 | |||||
| (9:00–9:05) | |||||
| Remark | |||||
| (9:05–9:45) | |||||
| A302 | [Invited lecture] Initiatives for Plant Stabilization and Optimization Using Process Digital Twins | Digital Twins Operations and Maintenance Process Simulation | SS-5 | 222 | |
| Break | |||||
| (9:50–10:30) | |||||
| A304 | [Invited lecture] Neural Network Application for Reaction Prediction and Real-Time Control in Resin Batch Manufacturing: DIC and Hitachi | Neural Network Resin Batch Manufacturing Reaction Prediction and Real-Time Control | SS-5 | 223 | |
| Break | |||||
| (10:35–11:15) | |||||
| A307 | [Invited lecture] Introduction to Our Digital Twin Services for Plant Operations and Maintenance | Digital Twins Operations and Maintenance AI | SS-5 | 224 | |
| Mixer | |||||
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SCEJ 91st Annual Meeting (Kyoto, 2026)
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