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Intelligent Manufacturing Systems Driven by Artificial Intelligence in Industry 4.0

Intelligent Manufacturing Systems Driven by Artificial Intelligence in Industry 4.0

Lejla Banjanović-Mehmedović, Fahrudin Mehmedović
Copyright: © 2022 |Pages: 23
ISBN13: 9781668436943|ISBN10: 1668436949|EISBN13: 9781668436950
DOI: 10.4018/978-1-6684-3694-3.ch021
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MLA

Banjanović-Mehmedović, Lejla, and Fahrudin Mehmedović. "Intelligent Manufacturing Systems Driven by Artificial Intelligence in Industry 4.0." Research Anthology on Cross-Disciplinary Designs and Applications of Automation, edited by Information Resources Management Association, IGI Global, 2022, pp. 406-428. https://doi.org/10.4018/978-1-6684-3694-3.ch021

APA

Banjanović-Mehmedović, L. & Mehmedović, F. (2022). Intelligent Manufacturing Systems Driven by Artificial Intelligence in Industry 4.0. In I. Management Association (Ed.), Research Anthology on Cross-Disciplinary Designs and Applications of Automation (pp. 406-428). IGI Global. https://doi.org/10.4018/978-1-6684-3694-3.ch021

Chicago

Banjanović-Mehmedović, Lejla, and Fahrudin Mehmedović. "Intelligent Manufacturing Systems Driven by Artificial Intelligence in Industry 4.0." In Research Anthology on Cross-Disciplinary Designs and Applications of Automation, edited by Information Resources Management Association, 406-428. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-3694-3.ch021

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Abstract

Intelligent manufacturing plays an important role in Industry 4.0. Key technologies such as artificial intelligence (AI), big data analytics (BDA), the internet of things (IoT), cyber-physical systems (CPSs), and cloud computing enable intelligent manufacturing systems (IMS). Artificial intelligence (AI) plays an essential role in IMS by providing typical features such as learning, reasoning, acting, modeling, intelligent interconnecting, and intelligent decision making. Artificial intelligence's impact on manufacturing is involved in Industry 4.0 through big data analytics, predictive maintenance, data-driven system modeling, control and optimization, human-robot collaboration, and smart machine communication. The recent advances in machine and deep learning algorithms combined with powerful computational hardware have opened new possibilities for technological progress in manufacturing, which led to improving and optimizing any business model.

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