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

Robert X. Gao, Jörg Krüger, Marion Merklein, Hans‐Christian Möhring, József Váncza

2024CIRP Annals179 citationsDOIOpen Access PDF

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.

Topics & Concepts

Leverage (statistics)Manufacturing engineeringEngineeringComputer-integrated manufacturingArtificial intelligenceProcess (computing)AutomationComputer scienceSystems engineeringMechanical engineeringOperating systemManufacturing Process and OptimizationIndustrial Vision Systems and Defect DetectionDigital Transformation in Industry
Artificial Intelligence in manufacturing: State of the art, perspectives, and future directions | Litcius