Yunfei Ma , Shuai Zheng , Zheng Yang , Pai Zheng , Jiewu Leng , Jun Hong
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引用次数: 0
Abstract
Industry 5.0, as the guiding ideology of the new generation intelligent manufacturing, points the way for global industrial transformation. It emphasizes the collaborative cooperation between humans, machines and intelligent systems, and places humans at the core of the industrial production process, aiming to create a more flexible, personalized and sustainable production paradigm. Large language model, as an advanced natural language processing technology, has received attention from researchers related to Industry 5.0 due to its ease of use and powerful language processing capability. LLM is considered to be one of the key enabling technologies to drive the development of Industry 5.0 and has great application potential. After a rigorous review of existing approaches, we find there is few existing survey papers that focuses on how LLM will drive the development of Industry 5.0 applications. Therefore, this paper provides a comprehensive review of the application of LLM in the field of Industry 5.0. Firstly, we conduct a literature review to explore the current state of research related to Industry 5.0. Subsequently, we analyze LLM-based technologies, synergizing LLMs with Industry 5.0 enablers and the applications of LLM in various domains of intelligent manufacturing. Finally, we explore the challenges of LLM in real-world scenarios and future research directions in the context of Industry 5.0. It is hoped that this study will contribute to the further development of LLM-based solutions in the context of Industry 5.0 and unite various efforts to achieve the vision of Industry 5.0.
期刊介绍:
The Journal of Manufacturing Systems is dedicated to showcasing cutting-edge fundamental and applied research in manufacturing at the systems level. Encompassing products, equipment, people, information, control, and support functions, manufacturing systems play a pivotal role in the economical and competitive development, production, delivery, and total lifecycle of products, meeting market and societal needs.
With a commitment to publishing archival scholarly literature, the journal strives to advance the state of the art in manufacturing systems and foster innovation in crafting efficient, robust, and sustainable manufacturing systems. The focus extends from equipment-level considerations to the broader scope of the extended enterprise. The Journal welcomes research addressing challenges across various scales, including nano, micro, and macro-scale manufacturing, and spanning diverse sectors such as aerospace, automotive, energy, and medical device manufacturing.