B308 - SS-5 - Session programs - SCEJ 88th Annual Meeting (Tokyo, 2023)

`SCEJ 88th Annual Meeting (Tokyo, 2023)`

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

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Session programs : SS-5 : B308

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

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Hall B(Bldg. 13, 3F L1331), Day 3(Mar. 17)
(10:15–10:20) (Chair: Kawase Susumu)
10:15– 10:20		Remark (SCE・Net) Kawase Susumu
(10:20–11:20) (Chair: Yamamoto Kazumi)
10:20– 11:20	B305	[Review lecture] Smart factory for chemical manufacturers (JMA Consultants) Kamiyama Yosuke	Smart factory Practical theory Case study	SS-5	321
(11:20–12:00) (Chair: Yaba Susumu)
11:20– 12:00	B308	[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-5	326
(13:00–13:40) (Chair: Ogawa Shigeyasu)
13:00– 13:40	B313	[Invited lecture] Salesforce reference case for Cx including Quality Management (IBM Japan) Saegusa Kenichiro	Saleseforce Blockchain DX	SS-5	328
13:00– 13:40	B314	[Invited lecture] Blockchain reference case for refrigerant circulation platform (IBM Japan) Miyabe Naoki	Saleseforce Blockchain DX	SS-5	643
(13:40–14:20) (Chair: Yamamoto Kazumi)
13:40– 14:20	B315	[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-5	333
(14:20–15:00) (Chair: Ogawa Shigeyasu)
14:20– 15:00	B317	[Invited lecture] Energy-saving operation by AI autonomous control (Yokogawa Digital) Kobuchi Keiichiro	AI control Reinforcement learning Energy-saving	SS-5	342
(15:00–15:40) (Chair: Yaba Susumu)
15:00– 15:40	B319	[Requested talk] Practical use of digital technology at chemical plant (Sumitomo Chemical) (Reg)Hiraishi Yasuaki	chemical plant digital transformation machine learning	SS-5	349

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SCEJ 88th Annual Meeting (Tokyo, 2023)

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