Sangam: A Confluence of Knowledge Streams

How and why we need to capture tacit knowledge in manufacturing: Case studies of visual inspection

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dc.creator Johnson, Teegan L.
dc.creator Fletcher, Sarah R.
dc.creator Baker, W
dc.creator Charles, Rebecca
dc.date 2018-08-16T15:49:41Z
dc.date 2018-08-16T15:49:41Z
dc.date 2018-08-03
dc.date.accessioned 2022-05-25T16:37:43Z
dc.date.available 2022-05-25T16:37:43Z
dc.identifier Johnson T, Fletcher S, and Baker W, Charles R, How and why we need to capture tacit knowledge in manufacturing: Case studies of visual inspection. Applied Ergonomics, Volume 74, Issue January, 2019, pp. 1-9
dc.identifier 0003-6870
dc.identifier http://dx.doi.org/10.1016/j.apergo.2018.07.016
dc.identifier http://dspace.lib.cranfield.ac.uk/handle/1826/13403
dc.identifier 21248865
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/182261
dc.description Human visual inspection skills remain superior for ensuring product quality and conformance to standards in the manufacturing industry. However, at present these skills cannot be formally shared with other workers or used to develop and implement new solutions or assistive technologies because they involve a high level of tacit knowledge which only exists in skilled operators' internal cognitions. Industry needs reliable methods for the capture and analysis of this tacit knowledge so that it can be shared and not lost but also so that it can be best utilised in the transfer of manual work to automated systems and introduction of new technologies and processes. This paper describes two UK manufacturing case studies that applied systematic task analysis methods to capture and scrutinise the tacit knowledge and skills being applied in the visual inspection of aerospace components. Results reveal that the method was effective in eliciting tacit knowledge, and showed that tacit skills are particularly needed when visual inspection standards lack specification or the task requires greater subjective interpretation. The implications of these findings for future research and for developments in the manufacturing industry are discussed.
dc.language en
dc.publisher Elsevier
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Tacit knowledge
dc.subject Visual inspection
dc.subject Task analysis
dc.title How and why we need to capture tacit knowledge in manufacturing: Case studies of visual inspection
dc.type Article


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