Please use this identifier to cite or link to this item:
http://cmuir.cmu.ac.th/jspui/handle/6653943832/72474
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Siravat Teerasoponpong | en_US |
dc.contributor.author | Prompong Sugunnasil | en_US |
dc.date.accessioned | 2022-05-27T08:25:59Z | - |
dc.date.available | 2022-05-27T08:25:59Z | - |
dc.date.issued | 2022-01-01 | en_US |
dc.identifier.other | 2-s2.0-85127561479 | en_US |
dc.identifier.other | 10.1109/ECTIDAMTNCON53731.2022.9720417 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85127561479&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/72474 | - |
dc.description.abstract | A rapid development of modern industrial era, namely 'Industry 4.0' has accelerated the propagation of artificial intelligence (AI) applications to a manufacturing industry. Existing research indicated that advanced manufacturing technologies such as intelligent robotic systems, smart manufacturing systems, industrial automation, and intelligent monitoring systems have shown a great dependency on AI-based technology. As a result, an intelligent manufacturing environment is expanding from a shop floor level to a supply chain scale. However, most of the industrial AI applications based on existing literature are presented from a factory perspective. Thus, this research aims to explore the state-of-the-art of AI applications in manufacturing industry with a combination of supply chain perspective using bibliometric analysis. The results have demonstrated the associations between key supply chain activities, core technologies of Industry 4.0, and AI applications based on supply chain activities. This discovery should provide some development gaps of AI implementations in the level of manufacturing industrial supply chain. | en_US |
dc.subject | Arts and Humanities | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Decision Sciences | en_US |
dc.subject | Engineering | en_US |
dc.title | Review on Artificial Intelligence Applications in Manufacturing Industrial Supply Chain - Industry 4.0's Perspective | en_US |
dc.type | Conference Proceeding | en_US |
article.title.sourcetitle | 7th International Conference on Digital Arts, Media and Technology, DAMT 2022 and 5th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering, NCON 2022 | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
Files in This Item:
There are no files associated with this item.
Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.