Using Tacit Expert Knowledge to Support Shop-floor Operators Through a Knowledge-based Assistance System
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The increasing complexity of industrial production systems is challenging employees on the shop-floor in their daily work. Specific knowledge about manufacturing processes is often not available in explicit form but mainly as tacit knowledge of experienced shop-floor workers. A systematic approach to knowledge externalization and reuse is required to make this operational knowledge available. This paper proposes a method to systematically capture and structure expert knowledge while incorporating knowledge management and social research methods. The proposed method's application and evaluation occur in a continuous manufacturing scenario, externalizing tacit knowledge about coping with manufacturing anomalies. A digital assistance system is designed and prototypically implemented to manage and reuse the externalized knowledge. The early involvement of shop-floor workers in the development phase of the prototype ensures usability and user acceptance of the assistance system. The assistance system is developed as a collaboration supporting artifact in the shop-floor's common information space. To observe the resulting productivity performance improvements in the manufacturing scenario, a KPI-based evaluation of the assistance system is presented. Finally, a discussion about the major contributions of this paper, namely the development of an approach for knowledge externalization and a human-centered design of an assistance system, takes place. To assess the novelty of these approaches, they are contrasted with the state of the art identified in the literature before a final summary of the results is presented.
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Number of citations to item: 5
- Patrick Eichenseer, Herwig Winkler (2024): A data-oriented shopfloor management in the production context: a systematic literature review, In: The International Journal of Advanced Manufacturing Technology 9-10(134), doi:10.1007/s00170-024-14238-8
- Jannik Rosemeyer, Joachim Metternich (2024): Human-Centered Design for Digital Machine Learning Assistance Systems in Work-Based Learning, In: Lecture Notes in Networks and Systems, doi:10.1007/978-3-031-65411-4_19
- Samuel Kernan Freire, Evangelos Niforatos, Chaofan Wang, Santiago Ruiz-Arenas, Mina Foosherian, Stefan Wellsandt, Alessandro Bozzon (2023): Lessons Learned from Designing and Evaluating CLAICA: A Continuously Learning AI Cognitive Assistant, In: Proceedings of the 28th International Conference on Intelligent User Interfaces, doi:10.1145/3581641.3584042
- Samuel Kernan Freire, Mina Foosherian, Chaofan Wang, Evangelos Niforatos (2023): Harnessing Large Language Models for Cognitive Assistants in Factories, In: Proceedings of the 5th International Conference on Conversational User Interfaces, doi:10.1145/3571884.3604313
- Samuel Kernan Freire, Chaofan Wang, Santiago Ruiz-Arenas, Evangelos Niforatos (2023): Tacit Knowledge Elicitation for Shop-floor Workers with an Intelligent Assistant, In: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3544549.3585755