Last modified: 2023-12-13 19:10:32
Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
SS-5 Efforts to Utilize DX (Digital Transformation) to Create Vibrant and Sustainable On-Site Capabilities | |||||
(10:15–10:20) (Chair: | |||||
Remark | |||||
(10:20–11:20) (Chair: | |||||
B305 | [Review lecture] Smart factory for chemical manufacturers | Smart factory Practical theory Case study | SS-5 | 321 | |
(11:20–12:00) (Chair: | |||||
B308 | [Requested talk] Data Utilization Activity for DX of Production Field and AI Platform | DX Data Utilization AI Platform | SS-5 | 326 | |
(13:00–13:40) (Chair: | |||||
B313 | [Invited lecture] Salesforce reference case for Cx including Quality Management | Saleseforce Blockchain DX | SS-5 | 328 | |
B314 | [Invited lecture] Blockchain reference case for refrigerant circulation platform | Saleseforce Blockchain DX | SS-5 | 643 | |
(13:40–14:20) (Chair: | |||||
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 | AI Decision Tree Damage Mechanism Prediction | SS-5 | 333 | |
(14:20–15:00) (Chair: | |||||
B317 | [Invited lecture] Energy-saving operation by AI autonomous control | AI control Reinforcement learning Energy-saving | SS-5 | 342 | |
(15:00–15:40) (Chair: | |||||
B319 | [Requested talk] Practical use of digital technology at chemical plant | chemical plant digital transformation machine learning | SS-5 | 349 |
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SCEJ 88th Annual Meeting (Tokyo, 2023)