Journal Article

Using Tacit Expert Knowledge to Support Shop-floor Operators Through a Knowledge-based Assistance System

Loading...
Thumbnail Image

Fulltext URI

Document type

Text/Journal Article

Additional Information

Date

Journal Title

Journal ISSN

Volume Title

Publisher

Springer

Abstract

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.

Description

Hoerner, Lorenz; Schamberger, Markus; Bodendorf, Freimut (2023): Using Tacit Expert Knowledge to Support Shop-floor Operators Through a Knowledge-based Assistance System. Computer Supported Cooperative Work (CSCW): Vol. 32, No. 1. DOI: 10.1007/s10606-022-09445-4. Springer. ISSN: 1573-7551. pp. 55-91

Keywords

Assistance system, Continuous manufacturing, Expert knowledge, Implicit knowledge, Knowledge externalization, Knowledge management, Manufacturing scenario, Prototypical implementation, Shop-floor

Citation

URI

Endorsement

Review

Supplemented By

Referenced By


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
Please note: Providing information about citations is only possible thanks to to the open metadata APIs provided by crossref.org and opencitations.net. These lists may be incomplete due to unavailable citation data.source: opencitations.net, crossref.org