The Internet of Things and AI-based optimization within the Industry 4.0 paradigm
By reviewing the current state of the art, this paper opens a Special Section titled “The Internet of Things and AI-driven optimization in the Industry 4.0 paradigm”. The topics of this section are part of the broader issues of integration of IoT devices, cloud computing, big data analytics, and art...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2023-11-01
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| Series: | Bulletin of the Polish Academy of Sciences: Technical Sciences |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/129260/PDF/BPASTS_2024_72_1_3702.pdf |
| _version_ | 1797289321247539200 |
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| author | Dariusz Mikołajewski Jacek M. Czerniak Maciej Piechowiak Katarzyna Węgrzyn-Wolska Janusz Kacprzyk |
| author_facet | Dariusz Mikołajewski Jacek M. Czerniak Maciej Piechowiak Katarzyna Węgrzyn-Wolska Janusz Kacprzyk |
| author_sort | Dariusz Mikołajewski |
| collection | DOAJ |
| description | By reviewing the current state of the art, this paper opens a Special Section titled “The Internet of Things and AI-driven optimization in the Industry 4.0 paradigm”. The topics of this section are part of the broader issues of integration of IoT devices, cloud computing, big data analytics, and artificial intelligence to optimize industrial processes and increase efficiency. It also focuses on how to use modern methods (i.e. computerization, robotization, automation, machine learning, new business models, etc.) to integrate the entire manufacturing industry around current and future economic and social goals. The article presents the state of knowledge on the use of the Internet of Things and optimization based on artificial intelligence within the Industry 4.0 paradigm. The authors review the previous and current state of knowledge in this field and describe known opportunities, limitations, directions for further research, and industrial applications of the most promising ideas and technologies, considering technological, economic, and social opportunities. |
| first_indexed | 2024-03-07T19:03:16Z |
| format | Article |
| id | doaj.art-4efa4e29e976463581dae788ce938898 |
| institution | Directory Open Access Journal |
| issn | 2300-1917 |
| language | English |
| last_indexed | 2024-03-07T19:03:16Z |
| publishDate | 2023-11-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Bulletin of the Polish Academy of Sciences: Technical Sciences |
| spelling | doaj.art-4efa4e29e976463581dae788ce9388982024-03-01T11:06:21ZengPolish Academy of SciencesBulletin of the Polish Academy of Sciences: Technical Sciences2300-19172023-11-01721https://doi.org/10.24425/bpasts.2023.147346The Internet of Things and AI-based optimization within the Industry 4.0 paradigmDariusz Mikołajewski0https://orcid.org/0000-0003-4157-2796Jacek M. Czerniak1https://orcid.org/0000-0001-9848-7192Maciej Piechowiak2https://orcid.org/0000-0001-8346-5812Katarzyna Węgrzyn-Wolska3https://orcid.org/0000-0002-9776-3842Janusz Kacprzyk4https://orcid.org/0000-0003-4187-5877Faculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, PolandFaculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, PolandFaculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, PolandEFREI Paris Pantheon Assas University, Paris, FranceSystems Research Institute, Polish Academy of Science, Warsaw, PolandBy reviewing the current state of the art, this paper opens a Special Section titled “The Internet of Things and AI-driven optimization in the Industry 4.0 paradigm”. The topics of this section are part of the broader issues of integration of IoT devices, cloud computing, big data analytics, and artificial intelligence to optimize industrial processes and increase efficiency. It also focuses on how to use modern methods (i.e. computerization, robotization, automation, machine learning, new business models, etc.) to integrate the entire manufacturing industry around current and future economic and social goals. The article presents the state of knowledge on the use of the Internet of Things and optimization based on artificial intelligence within the Industry 4.0 paradigm. The authors review the previous and current state of knowledge in this field and describe known opportunities, limitations, directions for further research, and industrial applications of the most promising ideas and technologies, considering technological, economic, and social opportunities.https://journals.pan.pl/Content/129260/PDF/BPASTS_2024_72_1_3702.pdfindustry 4.0internet of thingsmachine learningcyber-physical systemindustrial internet of things |
| spellingShingle | Dariusz Mikołajewski Jacek M. Czerniak Maciej Piechowiak Katarzyna Węgrzyn-Wolska Janusz Kacprzyk The Internet of Things and AI-based optimization within the Industry 4.0 paradigm Bulletin of the Polish Academy of Sciences: Technical Sciences industry 4.0 internet of things machine learning cyber-physical system industrial internet of things |
| title | The Internet of Things and AI-based optimization within the Industry 4.0 paradigm |
| title_full | The Internet of Things and AI-based optimization within the Industry 4.0 paradigm |
| title_fullStr | The Internet of Things and AI-based optimization within the Industry 4.0 paradigm |
| title_full_unstemmed | The Internet of Things and AI-based optimization within the Industry 4.0 paradigm |
| title_short | The Internet of Things and AI-based optimization within the Industry 4.0 paradigm |
| title_sort | internet of things and ai based optimization within the industry 4 0 paradigm |
| topic | industry 4.0 internet of things machine learning cyber-physical system industrial internet of things |
| url | https://journals.pan.pl/Content/129260/PDF/BPASTS_2024_72_1_3702.pdf |
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