Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0
The reprints on "Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0" provides a comprehensive examination of the latest advancements and innovations in the fields of smart manufacturing and automation control. This Special Issue gathers extended papers from the 3rd IFSA Winter Con...
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| Формат: | Online |
|---|---|
| Язык: | английский |
| Опубликовано: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
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| Предметы: | |
| Online-ссылка: | ONIX_20240906_9783725818716_33 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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| _version_ | 1869530364973678592 |
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| collection | Directory of Open Access Books |
| description | The reprints on "Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0" provides a comprehensive examination of the latest advancements and innovations in the fields of smart manufacturing and automation control. This Special Issue gathers extended papers from the 3rd IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI’ 2023). This Special Issue underscores the rapid growth and transformative potential of Industry 4.0 and the emerging Industry 5.0, with a focus on the integration of advanced automation tools, robotic control, communications, and big data analytics. It highlights how these technologies collectively enable more efficient, flexible, and responsive manufacturing processes. Overall, this Special Issue emphasizes the critical role of advanced automation and control systems in driving the evolution of manufacturing industries. It reflects the growing importance of integrating cutting-edge technologies to enhance productivity, quality, and sustainability in manufacturing operations. The contributions in this Special Issue not only showcase the current research and development efforts but also provide a forward-looking perspective on the future of manufacturing in the era of Industry 4.0 and beyond. |
| format | Online |
| id | doab-20.500.12854ir-143671 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1436712024-09-06T08:00:35Z Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0 Yurish, Sergey Y. remanufacturing assembly sequence selection matching combinatorial algorithm engine brittleness factor lean–green manufacturing Industry 4.0 DEMATEL-ISM-MICMAC sustainable development zinc hydrometallurgy PLC spectrophotometric system nitrogen protection device automated control high-pressure polyethylene cyclone separator computational fluid dynamics design of experiment separation efficiency pressure drop production line scheduling multiple constraints beetle antennae search multi-objective production process equipment selection low carbon highly efficient BAS carbon emission genetic algorithm material distribution optimization model nonlinear time-delay migration model NARX-BP IOSBC-DE CTDARV performance comparisons AMESIM path planning business compass dung beetle optimizer IOTA Industry 4.0/5.0 blockchain data preservation industrial automation and control systems digital twin smart manufacturing energy energy efficiency productive flexibility thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general The reprints on "Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0" provides a comprehensive examination of the latest advancements and innovations in the fields of smart manufacturing and automation control. This Special Issue gathers extended papers from the 3rd IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI’ 2023). This Special Issue underscores the rapid growth and transformative potential of Industry 4.0 and the emerging Industry 5.0, with a focus on the integration of advanced automation tools, robotic control, communications, and big data analytics. It highlights how these technologies collectively enable more efficient, flexible, and responsive manufacturing processes. Overall, this Special Issue emphasizes the critical role of advanced automation and control systems in driving the evolution of manufacturing industries. It reflects the growing importance of integrating cutting-edge technologies to enhance productivity, quality, and sustainability in manufacturing operations. The contributions in this Special Issue not only showcase the current research and development efforts but also provide a forward-looking perspective on the future of manufacturing in the era of Industry 4.0 and beyond. 2024-09-06T08:00:23Z 2024-09-06T08:00:23Z 2024 book ONIX_20240906_9783725818716_33 9783725818716 9783725818723 https://directory.doabooks.org/handle/20.500.12854/143671 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9681 https://mdpi.com/books/pdfview/book/9681 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1872-3 10.3390/books978-3-7258-1872-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725818716 9783725818723 236 open access |
| spellingShingle | remanufacturing assembly sequence selection matching combinatorial algorithm engine brittleness factor lean–green manufacturing Industry 4.0 DEMATEL-ISM-MICMAC sustainable development zinc hydrometallurgy PLC spectrophotometric system nitrogen protection device automated control high-pressure polyethylene cyclone separator computational fluid dynamics design of experiment separation efficiency pressure drop production line scheduling multiple constraints beetle antennae search multi-objective production process equipment selection low carbon highly efficient BAS carbon emission genetic algorithm material distribution optimization model nonlinear time-delay migration model NARX-BP IOSBC-DE CTDARV performance comparisons AMESIM path planning business compass dung beetle optimizer IOTA Industry 4.0/5.0 blockchain data preservation industrial automation and control systems digital twin smart manufacturing energy energy efficiency productive flexibility thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0 |
| title | Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0 |
| title_full | Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0 |
| title_fullStr | Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0 |
| title_full_unstemmed | Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0 |
| title_short | Smart Manufacturing & Automation Control Systems for Industry 4.0/5.0 |
| title_sort | smart manufacturing automation control systems for industry 4 0 5 0 |
| topic | remanufacturing assembly sequence selection matching combinatorial algorithm engine brittleness factor lean–green manufacturing Industry 4.0 DEMATEL-ISM-MICMAC sustainable development zinc hydrometallurgy PLC spectrophotometric system nitrogen protection device automated control high-pressure polyethylene cyclone separator computational fluid dynamics design of experiment separation efficiency pressure drop production line scheduling multiple constraints beetle antennae search multi-objective production process equipment selection low carbon highly efficient BAS carbon emission genetic algorithm material distribution optimization model nonlinear time-delay migration model NARX-BP IOSBC-DE CTDARV performance comparisons AMESIM path planning business compass dung beetle optimizer IOTA Industry 4.0/5.0 blockchain data preservation industrial automation and control systems digital twin smart manufacturing energy energy efficiency productive flexibility thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general |
| topic_facet | remanufacturing assembly sequence selection matching combinatorial algorithm engine brittleness factor lean–green manufacturing Industry 4.0 DEMATEL-ISM-MICMAC sustainable development zinc hydrometallurgy PLC spectrophotometric system nitrogen protection device automated control high-pressure polyethylene cyclone separator computational fluid dynamics design of experiment separation efficiency pressure drop production line scheduling multiple constraints beetle antennae search multi-objective production process equipment selection low carbon highly efficient BAS carbon emission genetic algorithm material distribution optimization model nonlinear time-delay migration model NARX-BP IOSBC-DE CTDARV performance comparisons AMESIM path planning business compass dung beetle optimizer IOTA Industry 4.0/5.0 blockchain data preservation industrial automation and control systems digital twin smart manufacturing energy energy efficiency productive flexibility thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBC Engineering: general |
| url | ONIX_20240906_9783725818716_33 |