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A Model-Based Approach to Identify Barriers in Design Knowledge Reuse

Part of: Knowledge-based Engineering

Published online by Cambridge University Press:  26 July 2019

Thomas Jordan ,
Beate Bender ,
Michael Herzog  and
Young-Woo Song
Thomas Jordan*
Affiliation:
Chair for Product Development, Ruhr University Bochum, Germany Komatsu Germany GmbH
Beate Bender
Affiliation:
Chair for Product Development, Ruhr University Bochum, Germany
Michael Herzog
Affiliation:
Chair for Product Development, Ruhr University Bochum, Germany
Young-Woo Song
Affiliation:
Chair for Product Development, Ruhr University Bochum, Germany
*
Contact: Jordan, Thomas, Ruhr-University Bochum; Komatsu Germany, Chair for Product Development, Germany, [email protected]

Abstract

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Today, information and knowledge as competitive factors influence the success of companies as much as traditional production factors like human resources or physical capital. However, the reuse of design knowledge still represents a major challenge for engineering organizations. That is, because barriers exist hindering a successful knowledge reuse. On the basis of a literature review, the research depicted in this paper analyses the relation between single information conveying design knowledge and barriers hindering a successful knowledge reuse. Developing a model-based approach, we propose a micro logic containing three steps and underlying methods enabling practitioners to identify situation-specific barriers within their organization. We illustrate the industrial application of the approach in a case study at a mining machinery OEM.

Keywords

Knowledge managementInformation managementDesign managementKnowledge barriersDesign knowledge reuse
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 2427 - 2436
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) 2019

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