Pregled bibliografske jedinice broj: 1133994
Technology mining: Artificial intelligence in manufacturing
Technology mining: Artificial intelligence in manufacturing // Technological Forecasting & Social Change, 171 (2021), 120971, 18 doi:10.1016/j.techfore.2021.120971 (međunarodna recenzija, članak, znanstveni)
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Naslov
Technology mining: Artificial intelligence in
manufacturing
Autori
Zeba, Gordana ; Dabić, Marina ; Čičak, Mirjana ; Daim, Tugrul ; Yalcin, Haydar
Izvornik
Technological Forecasting & Social Change (0040-1625) 171
(2021);
120971, 18
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
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 ; Cyber-Physical Systems ; Artificial Intelligence, and so on. 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 of 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. These periods are viewed, respectively, as before and after the emergence 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, Interdisciplinarne tehničke znanosti, Ekonomija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Ekonomski fakultet, Zagreb,
Strojarski fakultet, Slavonski Brod,
Sveučilište u Slavonskom Brodu
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Social Science Citation Index (SSCI)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus