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Digital technologies have been identified as a key enabler within the manufacturing sector, yet a significant challenge lies in the maintenance of these systems. The paper address the concept of maintenance systems 4.0 supported by LLM. The article proposes use of LLM in the practical implementation of maintenance tasks, while also identifying the data sources required for such a model. Furthermore, it highlights the challenges associated with the implementation of an artificial intelligence solution. In this manner, the article fulfils its stated purpose and addresses the identified research gap concerning the use of data processed by LLM models for maintenance and repair tasks.

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Data-Driven Maintenance 4.0 with Use of Large Language Models

  • 会议论文

  • 发表日期：

    2026年

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  • Jakub Pizoń,
  • Arkadiusz Gola,
  • Łukasz Wójcik,
  • Tomasz Cieplak

摘要

Digital technologies have been identified as a key enabler within the manufacturing sector, yet a significant challenge lies in the maintenance of these systems. The paper address the concept of maintenance systems 4.0 supported by LLM. The article proposes use of LLM in the practical implementation of maintenance tasks, while also identifying the data sources required for such a model. Furthermore, it highlights the challenges associated with the implementation of an artificial intelligence solution. In this manner, the article fulfils its stated purpose and addresses the identified research gap concerning the use of data processed by LLM models for maintenance and repair tasks.