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SS) Session organized by Industry

SS-5. Practical DX in the Chemical Industry : AI and Digital Twins Driving On-site Innovation

Organizer(s): Toyoda Tomoyuki (Kaneka), Ara Tomohiro (Chiyoda), Kitada Toshio (Asahi Kasei)

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.

最終更新日時：2026-10-03 19:29:01

Popular Keywords in
this topics		KeywordsCount
Digital Twins2
Operations and Maintenance2
Neural Network1

Acknowledgement
number		Title/AuthorsKeywordsStyle
222[Invited lecture] Initiatives for Plant Stabilization and Optimization Using Process Digital Twins
(AGC) (Cor)Nakai Kosuke		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
(DIC) *(Cor)Nagao Atsushi・ (Cor)Matsufuji Yoshimasa・ (Cor)Era Iori		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
(Chiyoda) *(Cor)Fujii Wataru・ (Cor)Takano Hikaru・ (Cor)Furuichi Kazuya		Digital Twins
Operations and Maintenance
AI
O
List of received applications (By symposium/topics code)
List of received applications
SCEJ 91st Annual Meeting (Kyoto, 2026)

Organizing Committee of SCEJ 91st Annual Meeting (2026)
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