The keywords that frequently used in this topics code.
| Sato Takashi (SCEJ) |
The industry has begun efforts to utilize informatics, AI technology, IoT, and big data for the future. At the production site, the issues are the shortage of human resources and how to improve the quality of human resources. On the other hand, at "manufacturing sites", although automation and the introduction of equipment for reducing the number of staff are progressing, there are sites where staff have to rely on humans, and the utilization of IoT has become an issue. In this session, we will introduce examples of advanced companies from the perspective of how to utilize AI, IoT, and big data for future on-site capabilities.
Most recent update: 2021-08-21 18:44:01
| The keywords that frequently used in this topics code. | Keywords | Number | |
|---|---|---|---|
| machine learning | 2 | | |
| power of work sites in manufacturing | 1 | | |
| ACKN No. | Title/Author(s) | Keywords | Style |
|---|---|---|---|
| 62 | [Invited lecture] Production Innovations the Daicel way and Future Development | Next-generation chemical plant Standardization Intelligent and Integrated Production System | O |
| 63 | [Invited lecture] Improvement of film production process and power of work sites in manufacturing by utilizing digital technology. | film production process application of digital technology power of work sites in manufacturing | O |
| 65 | [Invited lecture] Powdering of a liquid raw material - The site power of the product development | Powdering Spray dryness The site power | O |
| 66 | [Invited lecture] DX technology and human resource development at Mitsubishi Chemical | Digital Transformation Training | O |
| 67 | [Invited lecture] New materials Ddevelopment based on property prediction models | Machine learning AI Inverse analysis | O |
| 68 | [Invited lecture] Hitachi Materials Informatics Solution:proposal of a new methology to accelerate a R&D, based on Materials Informatics | materials informatics machine learning chemoinformatics | O |
| 156 | [Invited lecture] Data analysis technology in Sumitomo Chemical | Data-utilization analysis Cultivate | O |
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