Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent Manufacturing
The next-generation intelligent smart factory system that is proposed in this paper could improve product quality and realize flexible, efficient, and sustainable product manufacturing by comprehensively improving production and management innovation via its digital network and intelligent methods t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/15/7645 |
| _version_ | 1827618491608334336 |
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| author | Jinyoub Kim Dongjoon Seo Jisang Moon Juhee Kim Hayul Kim Jongpil Jeong |
| author_facet | Jinyoub Kim Dongjoon Seo Jisang Moon Juhee Kim Hayul Kim Jongpil Jeong |
| author_sort | Jinyoub Kim |
| collection | DOAJ |
| description | The next-generation intelligent smart factory system that is proposed in this paper could improve product quality and realize flexible, efficient, and sustainable product manufacturing by comprehensively improving production and management innovation via its digital network and intelligent methods that reflect the characteristics of its printed circuit board (PCB) manufacturing design and on-site implementation. Intelligent manufacturing systems are complex systems that are composed of humans, cyber systems, and physical systems and aim to achieve specific manufacturing goals at an optimized level. Advanced manufacturing technology and next-generation artificial intelligence (AI) are deeply integrated into next-generation intelligent manufacturing (NGIM). Currently, the majority of PCB manufacturers are firms that specialize in processing orders from leading semiconductor and related product manufacturers, such as Samsung Electronics, TSMC, Samsung Electro-Mechanics, and LG Electronics. These top companies have been responsible for all product innovation, intelligent services, and system integration, with PCB manufacturers primarily playing a role in intelligent production and system integration. In this study, the main implementation areas were divided into manufacturing execution system (MES) implementation (which could operate the system using system integration), data gathering, the Industrial Internet of Things (IIoT) for production line connection, AI and real-time monitoring, and system implementation that could visualize the collected data. Finally, the prospects of the design and on-site implementation of the next-generation intelligent smart factory system that detects and controls the occurrence of quality and facility abnormalities are presented, based on the implementation system. |
| first_indexed | 2024-03-09T10:09:22Z |
| format | Article |
| id | doaj.art-5160846b883e4d45afd7398390c5cad2 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T10:09:22Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-5160846b883e4d45afd7398390c5cad22023-12-01T22:50:23ZengMDPI AGApplied Sciences2076-34172022-07-011215764510.3390/app12157645Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent ManufacturingJinyoub Kim0Dongjoon Seo1Jisang Moon2Juhee Kim3Hayul Kim4Jongpil Jeong5Department of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, KoreaDepartment of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, KoreaDepartment of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, KoreaHygino AI Research Lab., 25, Simin-daero 248beon-gil, Dongan-gu, Anyang 14067, KoreaHygino AI Research Lab., 25, Simin-daero 248beon-gil, Dongan-gu, Anyang 14067, KoreaDepartment of Smart Factory Convergence, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon 16419, KoreaThe next-generation intelligent smart factory system that is proposed in this paper could improve product quality and realize flexible, efficient, and sustainable product manufacturing by comprehensively improving production and management innovation via its digital network and intelligent methods that reflect the characteristics of its printed circuit board (PCB) manufacturing design and on-site implementation. Intelligent manufacturing systems are complex systems that are composed of humans, cyber systems, and physical systems and aim to achieve specific manufacturing goals at an optimized level. Advanced manufacturing technology and next-generation artificial intelligence (AI) are deeply integrated into next-generation intelligent manufacturing (NGIM). Currently, the majority of PCB manufacturers are firms that specialize in processing orders from leading semiconductor and related product manufacturers, such as Samsung Electronics, TSMC, Samsung Electro-Mechanics, and LG Electronics. These top companies have been responsible for all product innovation, intelligent services, and system integration, with PCB manufacturers primarily playing a role in intelligent production and system integration. In this study, the main implementation areas were divided into manufacturing execution system (MES) implementation (which could operate the system using system integration), data gathering, the Industrial Internet of Things (IIoT) for production line connection, AI and real-time monitoring, and system implementation that could visualize the collected data. Finally, the prospects of the design and on-site implementation of the next-generation intelligent smart factory system that detects and controls the occurrence of quality and facility abnormalities are presented, based on the implementation system.https://www.mdpi.com/2076-3417/12/15/7645next-generation intelligent manufacturinghuman–cyber–physical systemknowledge engineeringenabling technologymanufacturing domain technologynext-generation artificial intelligence |
| spellingShingle | Jinyoub Kim Dongjoon Seo Jisang Moon Juhee Kim Hayul Kim Jongpil Jeong Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent Manufacturing Applied Sciences next-generation intelligent manufacturing human–cyber–physical system knowledge engineering enabling technology manufacturing domain technology next-generation artificial intelligence |
| title | Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent Manufacturing |
| title_full | Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent Manufacturing |
| title_fullStr | Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent Manufacturing |
| title_full_unstemmed | Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent Manufacturing |
| title_short | Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent Manufacturing |
| title_sort | design and implementation of an hcps based pcb smart factory system for next generation intelligent manufacturing |
| topic | next-generation intelligent manufacturing human–cyber–physical system knowledge engineering enabling technology manufacturing domain technology next-generation artificial intelligence |
| url | https://www.mdpi.com/2076-3417/12/15/7645 |
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