SCEJ 88th Annual Meeting (Tokyo, 2023): List of the applications (topics)

SS-7. Efforts to Utilize DX (Digital Transformation) to Create Vibrant and Sustainable On-Site Capabilities (Poster) <Closed session>

Organizer(s):

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.

Most recent update: 2023-05-12 16:44:01

The keywords that frequently used in this topics code.	Keywords	Number
AI	3
Machine Learning	3
digital transformation	2
DX	2
gas separation	1

The keywords that frequently used
in this topics code.

Keywords

Number

Machine Learning

digital transformation

gas separation

ACKN No.	Title/Author(s)	Keywords	Style
322	[Invited lecture] Smart factory for chemical manufacturers (JMA Consultants) Kamiyama Yosuke	Smart factory Practical theory Case study	P
324	[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	P
329	[Invited lecture] Salesforce reference case for Cx including Quality Management / Blockchain reference case for refrigerant circulation platform (IBM Japan) *Miyabe Naoki, Saegusa Kenichiro	Saleseforce Blockchain DX	P
338	[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	P
345	[Invited lecture] Energy-saving operation by AI autonomous control (Yokogawa Digital) Kobuchi Keiichiro	AI control Reinforcement learning Energy-saving	P
348	[Requested talk] Practical use of digital technology at chemical plant (Sumitomo Chemical) (Reg)Hiraishi Yasuaki	chemical plant digital transformation machine learning	P
357	Inverse design of functional separation materials using deep generation models. (Kogakuin U.) *(Stu)Matsumoto Takumi, (Reg)Miyagawa Masaya, (Reg)Takaba Hiromitsu	machine learning polymer membrane gas separation	P
369	[Requested talk] Introduction of AI support for overall plant operation including optimization and anomaly detection (Chiyoda) *(Cor)Sato Hideki, (Cor)Ogawa Rentaro, (Cor)Furuichi Kazuya	AI anomaly detection operation improvement	P
373	[Requested talk] Recommendation of diagnosis of heating medium boilers and equipment using heat medium (Soken Tecnix) *(Cor)Matsuoka Daisuke, (Cor)Sakashita Ryuji	diagnosis maintenance inspection	P
376	[Invited lecture] Utilizing Robotics for "Smart Inspection/DX" of Factories, Plants, etc. (Blue innovation) Hirabaru Sho, *Yamaguchi Yudai	drone robotics digital transformation	P
382	[Invited lecture] Inventory reduction through color mixing using CCM (Dainichiseika Color & Chemicals) Maeda Satoshi	CCM colormixing inventory	P
383	[Requested talk] Online Trainings on Process Safety Triggered by COVID-19 (SCE・Net) *(Reg)Ushiyama Satoshi, (Reg)Takeuchi Ryo	On-line Training Process Safety	P
388	[Requested talk] Improvement of on-site capabilities through digitalization of production technology and improvement of productivity through autonomous control of processes (Sumitomo Bakelite) (Cor)Tanaka Go	Production engineering AI IoT Gemba-ryoku kaizen(Field capabilities improvement) Productivity improvement	P
393	[Invited lecture] AI use cases in predictive maintenance that have entered the practical stage (Brains Tech.) Hayashi Takuma	AI Machine Learning Predictive Maintenance	P
396	[Requested talk] Eco-friendly semiconductor cleaning technology using ozone water (Ecodesign) *Nagakura Masaya, Saito Junichiro, Yamaguchi Daisuke, Sakamoto Yukiko	Semiconductor Cleaning	P

ACKN
No.

Title/Author(s)

Keywords

Style

322

[Invited lecture] Smart factory for chemical manufacturers
(JMA Consultants) Kamiyama Yosuke

Smart factory
Practical theory
Case study

324

[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

329

[Invited lecture] Salesforce reference case for Cx including Quality Management / Blockchain reference case for refrigerant circulation platform
(IBM Japan) *Miyabe Naoki, Saegusa Kenichiro

Saleseforce
Blockchain
DX

338

[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

345

[Invited lecture] Energy-saving operation by AI autonomous control
(Yokogawa Digital) Kobuchi Keiichiro

AI control
Reinforcement learning
Energy-saving

348

[Requested talk] Practical use of digital technology at chemical plant
(Sumitomo Chemical) (Reg)Hiraishi Yasuaki

chemical plant
digital transformation
machine learning

357

Inverse design of functional separation materials using deep generation models.
(Kogakuin U.) *(Stu)Matsumoto Takumi, (Reg)Miyagawa Masaya, (Reg)Takaba Hiromitsu

machine learning
polymer membrane
gas separation

369

[Requested talk] Introduction of AI support for overall plant operation including optimization and anomaly detection
(Chiyoda) *(Cor)Sato Hideki, (Cor)Ogawa Rentaro, (Cor)Furuichi Kazuya

AI
anomaly detection
operation improvement

373

[Requested talk] Recommendation of diagnosis of heating medium boilers and equipment using heat medium
(Soken Tecnix) *(Cor)Matsuoka Daisuke, (Cor)Sakashita Ryuji

diagnosis
maintenance
inspection

376

[Invited lecture] Utilizing Robotics for "Smart Inspection/DX" of Factories, Plants, etc.
(Blue innovation) Hirabaru Sho, *Yamaguchi Yudai

drone
robotics
digital transformation

382

[Invited lecture] Inventory reduction through color mixing using CCM
(Dainichiseika Color & Chemicals) Maeda Satoshi

CCM
colormixing
inventory

383

[Requested talk] Online Trainings on Process Safety Triggered by COVID-19
(SCE・Net) *(Reg)Ushiyama Satoshi, (Reg)Takeuchi Ryo

On-line
Training
Process Safety

388

[Requested talk] Improvement of on-site capabilities through digitalization of production technology and improvement of productivity through autonomous control of processes
(Sumitomo Bakelite) (Cor)Tanaka Go

Production engineering AI IoT
Gemba-ryoku kaizen(Field capabilities improvement)
Productivity improvement

393

[Invited lecture] AI use cases in predictive maintenance that have entered the practical stage
(Brains Tech.) Hayashi Takuma

AI
Machine Learning
Predictive Maintenance

396

[Requested talk] Eco-friendly semiconductor cleaning technology using ozone water
(Ecodesign) *Nagakura Masaya, Saito Junichiro, Yamaguchi Daisuke, Sakamoto Yukiko

Semiconductor Cleaning

List of received applications (By topics code)

List of received applications

SCEJ 88th Annual Meeting (Tokyo, 2023)

IChES 2023

(C) 2023 The Society of Chemical Engineers, Japan. . All rights reserved.
Most recent update: 2023-05-12 16:44:01
For more information contact Organizing Committee, SCEJ 88th Annual Meeting (Tokyo, 2023) / / IChES 2023
E-mail: inquiry-88a

www3.scej.org

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

List of received applications (By topics code)

SS) Session organized by Industry

SS-7. Efforts to Utilize DX (Digital Transformation) to Create Vibrant and Sustainable On-Site Capabilities (Poster) <Closed session>

SCEJ 88th Annual Meeting (Tokyo, 2023) / / IChES 2023

List of received applications (By topics code)

SS) Session organized by Industry

SS-7. Efforts to Utilize DX (Digital Transformation) to Create Vibrant and Sustainable On-Site Capabilities (Poster) &lt;Closed session&gt;

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

SS-7. Efforts to Utilize DX (Digital Transformation) to Create Vibrant and Sustainable On-Site Capabilities (Poster) <Closed session>