Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions

Gao RX, Krüger J, Merklein M, Möhring HC, Váncza J (2024)

Publication Type: Journal article

Publication year: 2024

Journal

CIRP Annals - Manufacturing Technology Elsevier

DOI: 10.1016/j.cirp.2024.04.101

Abstract

Inspired by the natural intelligence of humans and bio-evolution, Artificial Intelligence (AI) has seen accelerated growth since the beginning of the 21st century. Successful AI applications have been broadly reported, with Industry 4.0 providing a thematic platform for AI-related research and development in manufacturing. This paper highlights applications of AI in manufacturing, ranging from production system design and planning to process modeling, optimization, quality assurance, maintenance, automated assembly and disassembly. In addition, the paper presents an overview of representative manufacturing problems and matching AI solutions, and a perspective of future research to leverage AI towards the realization of smart manufacturing.

Authors with CRIS profile

Marion Merklein Institute of Manufacturing Technology (LFT)

Involved external institutions

Technische Universität Berlin DE Germany (DE) Institute for Computer Science and Control / Magyar Tudományos Akadémia Számítástechnikai és Automatizálási Kutatóintézete HU Hungary (HU) Case Western Reserve University US United States (USA) (US) Universität Stuttgart DE Germany (DE)

How to cite

APA:

Gao, R.X., Krüger, J., Merklein, M., Möhring, H.C., & Váncza, J. (2024). Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions. CIRP Annals - Manufacturing Technology. https://doi.org/10.1016/j.cirp.2024.04.101

MLA:

Gao, Robert X., et al. "Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions." CIRP Annals - Manufacturing Technology (2024).

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