Artificial Intelligence in the Context of Industry 4.0
Abstract
With the migration of artificial intelligence (AI) from fiction to a disruptive technology applicable to production processes, there is a need to analyze how this theme is related to the fourth industrial revolution, known as industry 4.0. This paper aims to expose the aspects of each theme and relate them to generate the debate and demonstrate the existing applications.
Keywords:
Artificial intelligence, Disruptive technologies, Industry 4.0
References
Almada-Lobo, Francisco. 2016. “The Industry 4.0 Revolution and the Future of Manufacturing Execution Systems (MES).” Journal of Innovation Management 3(4): 16–21.
Cheng, Guo Jian, Li Ting Liu, Xin Jian Qiang, and Ye Liu. 2017. “Industry 4.0 Development and Application of Intelligent Manufacturing.” Proceedings - 2016 International Conference on Information System and Artificial Intelligence, ISAI 2016: 407–10.
Festo. 2020. “Bionic Learning Network.” https://www.festo.com/group/en/cms/10156.htm (March 29, 2020).
Lee, Jay, Hossein Davari, Jaskaran Singh, and Vibhor Pandhare. 2018. “Industrial Artificial Intelligence for Industry 4.0-Based Manufacturing Systems.” Manufacturing Letters 18: 20–23.
Minter, Steve. 2015. “GE Plans for Big Data Are ‘Brilliant.’” Industry week. https://www.industryweek.com/technology-and-iiot/emerging-technologies/article/22005985/ge-plans-for-big-data-are-brilliant (March 27, 2020).
Rüßmann, Michael et al. 2015. “Industry 4.0. The Future of Productivity and Growth in Manufacturing.” Boston Consulting (April): 1–5.
Wang, Ben. 2016. “The Evolution and Future of Manufacturing : A Review.” Journal of Manufacturing Systems 39(April): 79–100.
Wuest, Thorsten, Daniel Weimer, Christopher Irgens, and Klaus Dieter Thoben. 2016. “Machine Learning in Manufacturing: Advantages, Challenges, and Applications.” Production and Manufacturing Research 4(1): 23–45.
Yao, Xifan, Jiajun Zhou, Jiangming Zhang, and Claudio R. Boer. 2017. “From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven by Next Generation Artificial Intelligence and Further On.” Proceedings - 2017 5th International Conference on Enterprise Systems: Industrial Digitalization by Enterprise Systems, ES 2017: 311–18.
Zhong, Ray Y., Stephen T. Newman, George Q. Huang, and Shulin Lan. 2016. “Big Data for Supply Chain Management in the Service and Manufacturing Sectors: Challenges, Opportunities, and Future Perspectives.” Computers and Industrial Engineering 101: 572–91. http://dx.doi.org/10.1016/j.cie.2016.07.013.
Zhong, Ray Y., Xun Xu, Eberhard Klotz, and Stephen T. Newman. 2017. “Intelligent Manufacturing in the Context of Industry 4.0: A Review.” Engineering 3(5): 616–30. http://dx.doi.org/10.1016/J.ENG.2017.05.015.
Cheng, Guo Jian, Li Ting Liu, Xin Jian Qiang, and Ye Liu. 2017. “Industry 4.0 Development and Application of Intelligent Manufacturing.” Proceedings - 2016 International Conference on Information System and Artificial Intelligence, ISAI 2016: 407–10.
Festo. 2020. “Bionic Learning Network.” https://www.festo.com/group/en/cms/10156.htm (March 29, 2020).
Lee, Jay, Hossein Davari, Jaskaran Singh, and Vibhor Pandhare. 2018. “Industrial Artificial Intelligence for Industry 4.0-Based Manufacturing Systems.” Manufacturing Letters 18: 20–23.
Minter, Steve. 2015. “GE Plans for Big Data Are ‘Brilliant.’” Industry week. https://www.industryweek.com/technology-and-iiot/emerging-technologies/article/22005985/ge-plans-for-big-data-are-brilliant (March 27, 2020).
Rüßmann, Michael et al. 2015. “Industry 4.0. The Future of Productivity and Growth in Manufacturing.” Boston Consulting (April): 1–5.
Wang, Ben. 2016. “The Evolution and Future of Manufacturing : A Review.” Journal of Manufacturing Systems 39(April): 79–100.
Wuest, Thorsten, Daniel Weimer, Christopher Irgens, and Klaus Dieter Thoben. 2016. “Machine Learning in Manufacturing: Advantages, Challenges, and Applications.” Production and Manufacturing Research 4(1): 23–45.
Yao, Xifan, Jiajun Zhou, Jiangming Zhang, and Claudio R. Boer. 2017. “From Intelligent Manufacturing to Smart Manufacturing for Industry 4.0 Driven by Next Generation Artificial Intelligence and Further On.” Proceedings - 2017 5th International Conference on Enterprise Systems: Industrial Digitalization by Enterprise Systems, ES 2017: 311–18.
Zhong, Ray Y., Stephen T. Newman, George Q. Huang, and Shulin Lan. 2016. “Big Data for Supply Chain Management in the Service and Manufacturing Sectors: Challenges, Opportunities, and Future Perspectives.” Computers and Industrial Engineering 101: 572–91. http://dx.doi.org/10.1016/j.cie.2016.07.013.
Zhong, Ray Y., Xun Xu, Eberhard Klotz, and Stephen T. Newman. 2017. “Intelligent Manufacturing in the Context of Industry 4.0: A Review.” Engineering 3(5): 616–30. http://dx.doi.org/10.1016/J.ENG.2017.05.015.
Published
2020-06-30
How to Cite
TELLES, Eduardo Santos; BARONE, Dante Augusto Couto; DA SILVA, Alexandre Moraes.
Artificial Intelligence in the Context of Industry 4.0. In: WORKSHOP ON THE IMPLICATIONS OF COMPUTING IN SOCIETY (WICS), 1. , 2020, Cuiabá.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2020
.
p. 130-136.
ISSN 2763-8707.
DOI: https://doi.org/10.5753/wics.2020.11044.
