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SCEJ 91st Annual Meeting
Mar. 17 (Tue) - 19 (Thu), 2026
Yoshida Campus, Kyoto University
Japanese page
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.
Most recent update: 2025-12-31 20:44:01
 The keywords that frequently used in this topics code. | Keywords | Number | |
|---|---|---|---|
| Operations and Maintenance | 2 |  | |
| Digital Twins | 2 | | |
| Reaction Prediction and Real-Time Control | 1 | | |
| ACKN No. | Title/Author(s) | Keywords | Style |
|---|---|---|---|
| 222 | [Invited lecture] Initiatives for Plant Stabilization and Optimization Using Process Digital Twins | Digital Twins Operations and Maintenance Process Simulation | O |
| 223 | [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 | O |
| 224 | [Invited lecture] Introduction to Our Digital Twin Services for Plant Operations and Maintenance | Digital Twins Operations and Maintenance AI | O |
Organizing Committee of SCEJ 91st Annual Meeting (2026)
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