Toward New-Generation Intelligent Manufacturing
Intelligent manufacturing is a general concept that is under continuous development. It can be categorized into three basic paradigms: digital manufacturing, digital-networked manufacturing, and new-generation intelligent manufacturing. New-generation intelligent manufacturing represents an in-depth...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-02-01
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| Series: | Engineering |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2095809917308652 |
| _version_ | 1828826606581317632 |
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| author | Ji Zhou Peigen Li Yanhong Zhou Baicun Wang Jiyuan Zang Liu Meng |
| author_facet | Ji Zhou Peigen Li Yanhong Zhou Baicun Wang Jiyuan Zang Liu Meng |
| author_sort | Ji Zhou |
| collection | DOAJ |
| description | Intelligent manufacturing is a general concept that is under continuous development. It can be categorized into three basic paradigms: digital manufacturing, digital-networked manufacturing, and new-generation intelligent manufacturing. New-generation intelligent manufacturing represents an in-depth integration of new-generation artificial intelligence (AI) technology and advanced manufacturing technology. It runs through every link in the full life-cycle of design, production, product, and service. The concept also relates to the optimization and integration of corresponding systems; the continuous improvement of enterprises’ product quality, performance, and service levels; and reduction in resources consumption. New-generation intelligent manufacturing acts as the core driving force of the new industrial revolution and will continue to be the main pathway for the transformation and upgrading of the manufacturing industry in the decades to come. Human-cyber-physical systems (HCPSs) reveal the technological mechanisms of new-generation intelligent manufacturing and can effectively guide related theoretical research and engineering practice. Given the sequential development, cross interaction, and iterative upgrading characteristics of the three basic paradigms of intelligent manufacturing, a technology roadmap for “parallel promotion and integrated development” should be developed in order to drive forward the intelligent transformation of the manufacturing industry in China. Keywords: Advanced manufacturing, New-generation intelligent manufacturing, Human-cyber-physical system, New-generation AI, Basic paradigms, Parallel promotion, Integrated development |
| first_indexed | 2024-12-12T14:43:34Z |
| format | Article |
| id | doaj.art-cf50f9227ccd491281faa6047a01f920 |
| institution | Directory Open Access Journal |
| issn | 2095-8099 |
| language | English |
| last_indexed | 2024-12-12T14:43:34Z |
| publishDate | 2018-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Engineering |
| spelling | doaj.art-cf50f9227ccd491281faa6047a01f9202022-12-22T00:21:10ZengElsevierEngineering2095-80992018-02-01411120Toward New-Generation Intelligent ManufacturingJi Zhou0Peigen Li1Yanhong Zhou2Baicun Wang3Jiyuan Zang4Liu Meng5Chinese Academy of Engineering, Beijing 100088, ChinaHuazhong University of Science and Technology, Wuhan 430074, ChinaHuazhong University of Science and Technology, Wuhan 430074, China; Corresponding authors.Tsinghua University, Beijing 100084, China; Corresponding authors.Tsinghua University, Beijing 100084, ChinaTsinghua University, Beijing 100084, ChinaIntelligent manufacturing is a general concept that is under continuous development. It can be categorized into three basic paradigms: digital manufacturing, digital-networked manufacturing, and new-generation intelligent manufacturing. New-generation intelligent manufacturing represents an in-depth integration of new-generation artificial intelligence (AI) technology and advanced manufacturing technology. It runs through every link in the full life-cycle of design, production, product, and service. The concept also relates to the optimization and integration of corresponding systems; the continuous improvement of enterprises’ product quality, performance, and service levels; and reduction in resources consumption. New-generation intelligent manufacturing acts as the core driving force of the new industrial revolution and will continue to be the main pathway for the transformation and upgrading of the manufacturing industry in the decades to come. Human-cyber-physical systems (HCPSs) reveal the technological mechanisms of new-generation intelligent manufacturing and can effectively guide related theoretical research and engineering practice. Given the sequential development, cross interaction, and iterative upgrading characteristics of the three basic paradigms of intelligent manufacturing, a technology roadmap for “parallel promotion and integrated development” should be developed in order to drive forward the intelligent transformation of the manufacturing industry in China. Keywords: Advanced manufacturing, New-generation intelligent manufacturing, Human-cyber-physical system, New-generation AI, Basic paradigms, Parallel promotion, Integrated developmenthttp://www.sciencedirect.com/science/article/pii/S2095809917308652 |
| spellingShingle | Ji Zhou Peigen Li Yanhong Zhou Baicun Wang Jiyuan Zang Liu Meng Toward New-Generation Intelligent Manufacturing Engineering |
| title | Toward New-Generation Intelligent Manufacturing |
| title_full | Toward New-Generation Intelligent Manufacturing |
| title_fullStr | Toward New-Generation Intelligent Manufacturing |
| title_full_unstemmed | Toward New-Generation Intelligent Manufacturing |
| title_short | Toward New-Generation Intelligent Manufacturing |
| title_sort | toward new generation intelligent manufacturing |
| url | http://www.sciencedirect.com/science/article/pii/S2095809917308652 |
| work_keys_str_mv | AT jizhou towardnewgenerationintelligentmanufacturing AT peigenli towardnewgenerationintelligentmanufacturing AT yanhongzhou towardnewgenerationintelligentmanufacturing AT baicunwang towardnewgenerationintelligentmanufacturing AT jiyuanzang towardnewgenerationintelligentmanufacturing AT liumeng towardnewgenerationintelligentmanufacturing |