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A model for gathering and sharing knowledge in maintenance work

Published: 01 July 2015 Publication History

Abstract

Industrial maintenance is a complex and knowledge-intensive field. Therefore, maintenance technicians need to have easy access to versatile and situationally relevant knowledge. The aim of this paper is to increase the understanding of maintenance technicians' interactions and knowledge sharing with colleagues and technology during maintenance work. Three industrial maintenance cases were studied using interviews and observation. As a result, a model for knowledge sharing in maintenance work was developed. Based on the model, it is easier to tackle challenges in knowledge gathering and sharing. In addition, it supports the research and development of technologies that contribute to knowledge sharing in the future.

References

[1]
Aaltonen, I., Kuula, T., Wahlström, M., Aikala, M. and Laarni, J. Challenges and Training Needs in NPP Automation Maintenance. In Proc. NPIC & HMIT 2015.
[2]
Azuma, R. T. A survey of augmented reality. Presence 6, 4 (1997), 355--385.
[3]
Bottecchia, S., Cieutat, J. M., Merlo, C., and Jessel, J. P. A new AR interaction paradigm for collaborative teleassistance system: the POA. International Journal on Interactive Design and Manufacturing 3, 1 (2009), 35--40.
[4]
Dave, B. and Koskela, L. Collaborative knowledge management---A construction case study. Automation in Construction 18, 7 (2009), 894--902.
[5]
Day, P. N., Ferguson, G., Holt, P. O. B., Hogg, S. and Gibson, D. Wearable augmented virtual reality for enhancing information delivery in high precision defence assembly: an engineering case study. Virtual Reality 8, 3 (2005), 177--184.
[6]
Desouza, K. C. Facilitating tacit knowledge exchange, Communications of the ACM 46, 6 (2003), 85--88.
[7]
Dhillon, B. S. Human Reliability, Error, and Human Factors in Power Generation. Springer Series in Reliability Engineering, Springer International Publishing, Switzerland, 2014.
[8]
Dhillon, B. S. and Liu, Y. Human error in maintenance: a review. Journal of Quality in Maintenance Engineering 12, (2006) 21--36.
[9]
EN 13306 (European Standard). Maintenance - Maintenance terminology. European Committee for Standardization, Brussels, 2010.
[10]
Engeström, Y. Learning by expanding: An activity-theoretical approach to developmental research. Orienta-Konsultit, Helsinki, 1987.
[11]
Ferrise, F., Caruso, G., and Bordegoni, M. Multimodal training and tele-assistance systems for the maintenance of industrial products. Virtual and Physical Prototyping 8, 2 (2013), 113--126.
[12]
Franssila, H. Sähköisen tietämyksenhallinnan mukauttaminen ja integrointi työkäytäntöihin asennusja huoltotyössä. Hypermedia Laboratory Net Series 16, University of Tampere, 2008.
[13]
Goffin, K. and Koners, U. Tacit Knowledge, Lessons Learnt, and New Product Development. Journal of Product Innovation Management 28, (2011), 300--318.
[14]
Haase, T., Termath, W., and Martsch, M. How to Save Expert Knowledge for the Organization: Methods for Collecting and Documenting Expert Knowledge Using Virtual Reality based Learning Environments. Procedia Computer Science 25, (2013), 236--246.
[15]
Henderson, S., and Feiner, S. Exploring the Benefits of Augmented Reality Documentation for Maintenance and Repair. IEEE Transactions on Visualization and Computer Graphics 17, 10 (2011), 1355--1368.
[16]
Hutchins, Edwin. Cognition in the Wild. MIT Press, Cambridge, 1995.
[17]
Hutchins, E., and Klausen, T. Distributed cognition in an airline cockpit. In Y. Engeström and D. Middleton, (Eds), Cognition and communication at work, 15--34. University Press, New York, 1996.
[18]
Kamsu-Foguem, B., and Noyes, D. Graph-based reasoning in collaborative knowledge management for industrial maintenance. Computers in Industry 64, 8 (2013), 998--1013.
[19]
Kuoppala, H., Riihiaho, S., Mannonen, P. and Salovaara, A. Huollon tämänhetkinen työnkuva. In Riihiaho, S. (ed.). Proaktiivisen tietotekniikan vaikutukset huoltotyöhön. Helsinki University of Technology, Espoo, 2003.
[20]
Lyons, K. L. Using patterns to capture tacit knowledge and enhance knowledge transfer in virtual teams. In Y. Malhotra (Ed.), Knowledge management and virtual organizations, 124--143. Idea Group Publishing, Hershey PA, 2000.
[21]
Mertins, K., Heisig, P., and Vorbeck, J. (Eds.). Knowledge management: concepts and best practices. Springer Science & Business Media, 2003.
[22]
Nonaka, I. A dynamic theory of organizational knowledge creation, Organization Science, 5 (1994), 14--37
[23]
Norros, L. Acting under uncertainty: The core-task analysis in ecological study of work. VTT Publications 546, VTT Technical Research Centre of Finland, Espoo, Finland, 2004.
[24]
Panahi, S., Watson, J. and Partridge, H. Towards tacit knowledge sharing over social web tools. Journal of Knowledge Management 17, 3 (2013), 379--397.
[25]
Polanyi, M. The Tacit Dimension. Anchor-Day, New York, 1966.
[26]
Reason, J. Managing the Risks of Organizational Accidents. Ashgate Publishing Ltd., London, 1997.
[27]
Roberts, J. From Know-how to Show-how? Questioning the Role of Information and Communication Technologies in Knowledge Transfer. Technology Analysis & Strategic Management 12, 4 (2000), 429--443.
[28]
Ruiz, P. A. P., Kamsu-Foguem, B., and Noyes, D. Knowledge reuse integrating the collaboration from experts in industrial maintenance management. Knowledge-Based Systems 50, (2013), 171--186.
[29]
Ruiz, P. P., Foguem, B. K., and Grabot, B. Generating knowledge in maintenance from Experience Feedback. Knowledge-Based Systems 68, (2014), 4--20.
[30]
Su, K. W., Hwang, S. L., & Liu, T. H. Knowledge architecture and framework design for preventing human error in maintenance tasks. Expert systems with applications 19, 3 (2000), 219--228.
[31]
Wood, N. Silent witness, using video to record and transmit tacit knowledge in creative practices. In Hantverkare emellan / Between craftspersons, pp. 56--69. University of Gothenburg, Craft Laboratory, Mariestad, 2014.
[32]
Yuan, M. L., Ong, S. K. and Nee, A. Y. C. Augmented reality for assembly guidance using a virtual interactive tool. International Journal of Production Research 46, 7 (2008), 1745--1767.

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cover image ACM Other conferences
ECCE '15: Proceedings of the European Conference on Cognitive Ergonomics 2015
July 2015
185 pages
ISBN:9781450336123
DOI:10.1145/2788412
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 July 2015

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Author Tags

  1. Tacit knowledge
  2. information systems
  3. knowledge sharing
  4. maintenance
  5. modelling
  6. procedures
  7. service

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