Augmented reality support to employ tacit knowledge in non-conforming operations

Roy G.J. Damgrave*, Sara Elisabeth Scheffer, Eric Lutters

*Corresponding author for this work

Research output: Contribution to journalConference articleAcademicpeer-review

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Abstract

Organisations often rely, implicitly, on the tacit knowledge of their employees, especially in non-conforming operations. These activities include (dis)assembly tasks, manual machining, troubleshooting, and tailored adjustments. While a traditional master-apprentice approach is a proven way to transfer tacit knowledge between employees, this approach is not feasible in current industrial situations. This research proposes a contemporary master-apprentice approach to support and improve non-conforming operations in situations that cannot rely on all parties being present at the same time, in the same location, while co-operating on the same task. The approach demonstrates the use of augmented reality as an implicit and discreet tool that purposefully addresses both capturing tacit knowledge, as well as employing it during operations - without disruptive interference in the primary processes.
Original languageEnglish
Pages (from-to)1475-1480
Number of pages6
JournalProcedia CIRP
Volume120
DOIs
Publication statusPublished - 2023

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