A Human-Centred Architecture for Large Language Models-Cognitive Assistants in Manufacturing within Quality Management Systems

arXiv (Cornell University)

Abstract

Large Language Models-Cognitive Assistants (LLM-CAs) can enhance Quality Management Systems (QMS) in manufacturing, fostering continuous process improvement and knowledge management. However, there is no human-centred software architecture focused on QMS that enables the integration of LLM-CAs into manufacturing in the current literature. This study addresses this gap by designing a component-based architecture considering requirement analysis and software development process. Validation was conducted via iterative expert focus groups. The proposed architecture ensures flexibility, scalability, modularity, and work augmentation within QMS. Moreover, it paves the way for its operationalization with industrial partners, showcasing its potential for advancing manufacturing processes.

Authors 5

1. Marcos Galdino Aachen IQS Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   IQS Intelligence in Quality Sensing , Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University , RWTH Aachen University , Aachen , Germany

2. Johanna Grahl Aachen IQS Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   IQS Intelligence in Quality Sensing , Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University , RWTH Aachen University , Aachen , Germany

3. Tobias Hamann Aachen IQS Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   IQS Intelligence in Quality Sensing , Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University , RWTH Aachen University , Aachen , Germany

4. Anas Abdelrazeq Aachen IQS Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   IQS Intelligence in Quality Sensing , Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University , RWTH Aachen University , Aachen , Germany

5. Ingrid Isenhardt Aachen IQS Intelligence in Quality Sensing Laboratory for Machine Tools and Production Engineering (WZL)

   RWTH Aachen University

   Affiliation as printed

   IQS Intelligence in Quality Sensing , Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University , RWTH Aachen University , Aachen , Germany