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With the global manufacturing industry entering the intelligent and digital era of Industry 4.0, the theoretical construction and development trends of intelligent manufacturing systems have become the focus of attention in academia and industry. This study aims to systematically expound the theoretical framework of intelligent manufacturing systems in the context of Industry 4.0 and predict their future development directions. Through literature review and theoretical analysis, this research explores the definition, core elements, functional requirements, and technological systems of intelligent manufacturing systems. Based on this, a multi-level theoretical model is constructed, which clarifies the intrinsic logic and interaction mechanisms of intelligent manufacturing systems in perception, analysis, decision-making, and execution. This study further discusses the challenges faced by intelligent manufacturing systems, including technological integration, security, standardization, and talent requirements, and proposes corresponding strategies and recommendations. In the conclusion section, this paper predicts the development trends of intelligent manufacturing systems, including higher levels of automation and intelligence, as well as the trends of technological integration, service orientation, and ecological development.
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Senxu Zhang
Journal of industry and engineering management.
Zhengzhou University of Aeronautics
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Senxu Zhang (Fri,) studied this question.
synapsesocial.com/papers/68e76bccb6db6435876e1a98 — DOI: https://doi.org/10.62517/jiem.202403112
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