Research on the Application of Multimodal Generative AI in the Entire Industrial Chain: From Design and Manufacturing to Supply Chain Management
Abstract
This paper conducts an in-depth study on the application of multimodal generative AI in the entire industrial chain. It first introduces
the concept and development status of multimodal generative AI, then elaborates on its specific applications in industrial design, manufacturing, defect detection, and supply chain management. The paper also analyzes the challenges faced by this technology in the entire industrial
chain and proposes corresponding solutions. The research shows that multimodal generative AI can significantly improve the efficiency and
quality of various industrial links, providing a strong driving force for the intelligent development of the industrial sector. However, continuous optimization and improvement in data, algorithms, and computing power are still needed to achieve broader and deeper applications.
the concept and development status of multimodal generative AI, then elaborates on its specific applications in industrial design, manufacturing, defect detection, and supply chain management. The paper also analyzes the challenges faced by this technology in the entire industrial
chain and proposes corresponding solutions. The research shows that multimodal generative AI can significantly improve the efficiency and
quality of various industrial links, providing a strong driving force for the intelligent development of the industrial sector. However, continuous optimization and improvement in data, algorithms, and computing power are still needed to achieve broader and deeper applications.
Keywords
Multimodal Generative Artificial Intelligence; Artificial Intelligence; Industrial Applications; Intelligent Manufacturing
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DOI: http://dx.doi.org/10.70711/aitr.v3i3.8045
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