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TOWARDS A FRAMEWORK FOR INTEGRATED AND COLLABORATIVE KNOWLEDGE MANAGEMENT FOR ENGINEERING DESIGN – A CASE STUDY

Published online by Cambridge University Press:  11 June 2020

N. Fatfouta*
Affiliation:
CentraleSupélec, France Renault, France
J. Stal-Le Cardinal
Affiliation:
CentraleSupélec, France

Abstract

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In automotive industry, the design process is costly and time-consuming. Car safety is a crucial factor in the development of a vehicle, which is why crash simulation is an essential step in the design process. To improve car crash simulation analysis, it is necessary to reduce the time required and support the resolution of encountered design issues. We propose a knowledge management approach to support car crash simulation analysis and ensure the collaboration of different stakeholders. In a knowledge-intensive context, we used an ontology-based approach to formalise and capture knowledge.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

Al-Emran, M. et al. (2018), “The impact of knowledge management processes on information systems: A systematic review”, International Journal of Information Management, Elsevier Ltd, 1 December.CrossRefGoogle Scholar
Alavi, M. and Leidner, D.E. (2001), “Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues”, Source: MIS Quarterly, Vol. 25.Google Scholar
Apurva, A. and S, M.D. (2011), “Understanding Knowledge Management: a literature review”, International Journal of Engineering Science and Technology (IJEST), Meyer & Zack, Vol. 3 No. 2, pp. 926939.Google Scholar
Barão, A. et al. (2017), “A knowledge management approach to capture organizational learning networks”, International Journal of Information Management, Elsevier Ltd, Vol. 37 No. 6, pp. 735740.CrossRefGoogle Scholar
Björk, E. and Ottosson, S. (2007), “Aspects of consideration in product development research”, Journal of Engineering Design, Vol. 18 No. 3, pp. 195207.CrossRefGoogle Scholar
Chen, Y.J., Chen, Y.M. and Chu, H.C. (2008), “Enabling collaborative product design through distributed engineering knowledge management”, Computers in Industry, Vol. 59 No. 4, pp. 395409.CrossRefGoogle Scholar
Chen, Y.J., Chen, Y.M. and Wu, M.S. (2012), “An empirical knowledge management framework for professional virtual community in knowledge-intensive service industries”, Expert Systems with Applications, Vol. 39 No. 18, pp. 1313513147.CrossRefGoogle Scholar
Desta, T., Garfield, M. and Meshesha, M. (2014), Proposing a Knowledge Management System (Kms) Architecture to Promote Knowledge Sharing Among Employees, available at: http://aisel.aisnet.org/ecis2014http://aisel.aisnet.org/ecis2014/proceedings/track04/7 (accessed 11 November 2019).Google Scholar
Fatfouta, N. et al. (2019), “An ontology towards a knowledge-based support of the post-processing phase of car crash simulation”, Advanced Engineering Informatics, Vol. submitted.Google Scholar
Fatfouta, N., Stal-Le Cardinal, J. and Royer, C. (2019), “Empirical Study of Car Crash Simulation Analysis within the Development Phase”, 22nd International Conference on Engineering Design ICED, Delft, The Netherlands, pp. 28432852.CrossRefGoogle Scholar
Girard, J., Georgia, M. and College, S. (2015), “Defining knowledge management : Toward an applied compendium”, Online Journal of Applied Knowledge Management, Vol. 3 No. 1, pp. 120.Google Scholar
Iaksch, J.S. and Borsato, M. (2019), “Method for digital evaluation of existing production systems adequacy to changes in product engineering in the context of the automotive industry”, Advanced Engineering Informatics, Vol. 42, p. 100942.CrossRefGoogle Scholar
Kestel, P. et al. (2019), “Ontology-based approach for the provision of simulation knowledge acquired by Data and Text Mining processes”, Advanced Engineering Informatics, Elsevier, Vol. 39 No. December 2018, pp. 292305.CrossRefGoogle Scholar
Li, H. et al. (2009), “A framework of ontology-based knowledge management system”, Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009, pp. 374377.Google Scholar
Mcmahon, C., Lowe, A. and Culley, S. (2004), “Knowledge management in engineering design: personalization and codification”, Journal of Engineering Design, Vol. 15 No. 4, pp. 307325.CrossRefGoogle Scholar
Ng, A.H.H. et al. (2012), “Integrated Knowledge Management Strategy: A Preliminary Literature Review”, Procedia - Social and Behavioral Sciences, Elsevier BV, Vol. 57, pp. 209214.CrossRefGoogle Scholar
Patane, S., Narkar, K.M. and Panchagade, D.R. (2015), “Evaluation of Tools & Techniques used for Frontal Crash Analysis”, available at: https://www.semanticscholar.org/paper/Evaluation-of-Tools-%26-Techniques-used-for-Frontal-Patane-Narkar/72e691342e29110309774c6441494ece375c8074 (accessed 12 September 2019).Google Scholar
Pawlowski, J. and Bick, M. (2012), “The Global Knowledge Management Framework: Towards a Theory for Knowledge Management in Globally Distributed Settings”, Journal of Knowledge Management, Vol. 10 No. 1, pp. 92108.Google Scholar
Peng, G. et al. (2017), “A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model”, Advanced Engineering Informatics, Elsevier, Vol. 33, pp. 314329.CrossRefGoogle Scholar
Premkumar, V. et al. (2014), “A semantic knowledge management system for laminated composites”, Advanced Engineering Informatics, Elsevier Ltd, Vol. 28 No. 1, pp. 91101.CrossRefGoogle Scholar
Ritchie, H. and Roser, M. (2018), “Causes of Death”, OurWorldInData.Org, available at: https://ourworldindata.org/causes-of-death#causes-of-death-in-recent-decades.Google Scholar
Robinson, M.A. (2010), “An empirical analysis of engineers’ information behaviors”, Journal of the American Society for Information Science and Technology, Vol. 61 No. 4, pp. 640658.Google Scholar
Saito, A., Umemoto, K. and Ikeda, M. (2007), “A strategy-based ontology of knowledge management technologies”, Journal of Knowledge Management, Vol. 11 No. 1, pp. 97114.CrossRefGoogle Scholar
Sun, W. et al. (2010), “Knowledge-intensive support for product design with an ontology-based approach”, Int J Adv Manuf Technol, Vol. 48, pp. 421434.CrossRefGoogle Scholar
Sun, W., Ma, Q. and Chen, S. (2009), “A framework for automated finite element analysis with an ontology-based approach”, Journal of Mechanical Science and Technology, Vol. 23 No. 12, pp. 32093220.CrossRefGoogle Scholar
Wallace, K., Ahmed, S. and Bracewell, R. (2005), “Engineering knowledge management”, Design Process Improvement, Springer London, London, pp. 326343.CrossRefGoogle Scholar
Yadav, S. and Pradhan, S.K. (2014), “Investigations into Dynamic Response of Automobile Components during Crash Simulation”, Procedia Engineering, Elsevier, Vol. 97, pp. 12541264.CrossRefGoogle Scholar
Zhang, J. et al. (2011), “Ontology-based knowledge management system and application”, Procedia Engineering, Vol. 15, pp. 10211029.CrossRefGoogle Scholar