Data Science for Industry 4.0 and Sustainability: A Survey and Analysis Based on Open Data

Autor: Hélio Castro, Filipe Costa, Tânia Ferreira, Paulo Ávila, Manuela Cruz-Cunha, Luís Ferreira, Goran D. Putnik, João Bastos
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Machines, Vol 11, Iss 4, p 452 (2023)
Druh dokumentu: article
ISSN: 2075-1702
67184774
DOI: 10.3390/machines11040452
Popis: In the last few years, the industrial, scientific, and technological fields have been subject to a revolutionary process of digitalization and automation called Industry 4.0. Its implementation has been successful mainly in the economic field of sustainability, while the environmental field has been gaining more attention from researchers recently. However, the social scope of Industry 4.0 is still somewhat neglected by researchers and organizations. This research aimed to study Industry 4.0 and sustainability themes using data science, by incorporating open data and open-source tools to achieve sustainable Industry 4.0. To that end, a quantitative analysis based on open data was developed using open-source software in order to study Industry 4.0 and sustainability trends. The main results show that manufacturing is a relevant value-added activity in the worldwide economy; that, foreseeing the importance of Industry 4.0, countries in America, Asia, Europe, and Oceania are incorporating technological principles of Industry 4.0 in their cities, creating so-called smart cities; and that the industries that invest most in technology are computers and electronics, pharmaceuticals, transport equipment, and IT (information technology) services. Furthermore, the G7 countries have a prevalent positive trend for the migration of technological and social skills toward sustainability, as it relates to the social pillar, and to Industry 4.0. Finally, on the global scale, a positive correlation between data openness and happiness was found.
Databáze: Directory of Open Access Journals
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