Pregled bibliografske jedinice broj: 1148261
Artificial Intelligence in Manufacturing: Bibliometric and Content Analysis
Artificial Intelligence in Manufacturing: Bibliometric and Content Analysis // Proceedings 2020 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G)
Ženeva, Švicarska: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 95-100 doi:10.1109/AI4G50087.2020.9311087 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Artificial Intelligence in Manufacturing:
Bibliometric and Content Analysis
Autori
Zeba, Gordana ; Dabić, Marina ; Čičak, Mirjana ; Daim, Tugrul
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings 2020 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2020, 95-100
Skup
2019 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G)
Mjesto i datum
Ženeva, Švicarska, 21.09.2020. - 25.09.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Artificial intelligence ; Bibliometric ; Content analysis ; Industry 4.0 ; Manufacturing
Sažetak
The period of the fourth industrial revolution, called Industry 4.0, is characterized by new, innovative technologies, such as Cloud Computing, the Internet of Things, the Industrial Internet of Things, Big Data, Blockchain, CyberPhysical Systems, Artificial Intelligence, etc. Artificial Intelligence technology plays a significant role in modern manufacturing, particularly in the context of the Industry 4.0 paradigm. This article offers a visual and a comprehensive study on the application of Artificial Intelligence in manufacturing. Existing scholarly literature on Artificial Intelligence in manufacturing, within the Web of Science Core Collection databases, is examined in two periods: 1979-2010 and 2011- 2019, respectively, before and after the emergency of the term Industry 4.0. Bibliometric and content analysis of relevant literature is conducted and key findings are subsequently identified. The results indicate that the most important topics today are cyber-physical systems and smart manufacturing ; deep learning and big data ; and real-time scheduling algorithms.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Strojarstvo, Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Zagreb,
Strojarski fakultet, Slavonski Brod