Japanese page
SCEJ

SCEJ 88th Annual Meeting (Tokyo, 2023)

Last modified: 2023-12-13 19:10:32

Session programs : SS-5

The preprints(abstracts) are now open (Mar. 1st). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants in Period I/II and invited persons are required.

SS-5 Efforts to Utilize DX (Digital Transformation) to Create Vibrant and Sustainable On-Site Capabilities

Organizer: Sawada Yuko (SCEJ)

Towards the realization of sustainable society, various research and development is being carried out. Among them, ammonia in particular is being studied as hydrogen carrier and carbon-free fuel. This session will focus on the utilization of ammonia, and introduce the latest trends and research cases.

Hall B, Day 3

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Hall B(Bldg. 13, 3F L1331), Day 3(Mar. 17)
(10:15–10:20) (Chair: Kawase Susumu)
10:1510:20Remark
(SCE・Net) Kawase Susumu
(10:20–11:20) (Chair: Yamamoto Kazumi)
10:2011:20B305[Review lecture] Smart factory for chemical manufacturers
(JMA Consultants) Kamiyama Yosuke
Smart factory
Practical theory
Case study
SS-5321
(11:20–12:00) (Chair: Yaba Susumu)
11:2012:00B308[Requested talk] Data Utilization Activity for DX of Production Field and AI Platform
(Kaneka) *(Cor)Kinaka Shingo, *(Cor)Ichiriki Hiroaki
DX
Data Utilization
AI Platform
SS-5326
(13:00–13:40) (Chair: Ogawa Shigeyasu)
13:0013:40B313[Invited lecture] Salesforce reference case for Cx including Quality Management
(IBM Japan) Saegusa Kenichiro
Saleseforce
Blockchain
DX
SS-5328
B314[Invited lecture] Blockchain reference case for refrigerant circulation platform
(IBM Japan) Miyabe Naoki
Saleseforce
Blockchain
DX
SS-5643
(13:40–14:20) (Chair: Yamamoto Kazumi)
13:4014:20B315[Requested talk] In Oil and Chemical industries, the damage mechanisms prediction of facilities from the chemical environments by user development of AI machine learning
(Facility Eng. Laboratory) (Reg)Matsuda Hiroyasu
AI
Decision Tree
Damage Mechanism Prediction
SS-5333
(14:20–15:00) (Chair: Ogawa Shigeyasu)
14:2015:00B317[Invited lecture] Energy-saving operation by AI autonomous control
(Yokogawa Digital) Kobuchi Keiichiro
AI control
Reinforcement learning
Energy-saving
SS-5342
(15:00–15:40) (Chair: Yaba Susumu)
15:0015:40B319[Requested talk] Practical use of digital technology at chemical plant
(Sumitomo Chemical) (Reg)Hiraishi Yasuaki
chemical plant
digital transformation
machine learning
SS-5349

Technical program
Technical sessions (Wide)  (For narrow screen)
Session programs
Search in technical program
SCEJ 88th Annual Meeting (Tokyo, 2023)


© 2023 The Society of Chemical Engineers, Japan. All rights reserved.
For more information contact Organizing Committee of SCEJ 88th Annual Meeting (Tokyo 2023) and IChES 2023
E-mail: inquiry-88awww3.scej.org