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

Year: 2026

Type: preprint

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.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2603.16325

Authors: Galdino, Marcos, Grahl, Johanna, Hamann, Tobias, Abdelrazeq, Anas, Isenhardt, Ingrid

Institution: RWTH Aachen University

Topic: Advanced Software Engineering Methodologies

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, Ministry of Labour and Social Protection of the Russian Federation, Bundesministerium für Arbeit und Soziales, European Social Fund

OpenAlex ID: W7138995161

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