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Improvement of Collaboration between Testing and Simulation Departments on the Example of a Motorcycle Manufacturer

Published online by Cambridge University Press:  26 July 2019

Julian Ralf Schönwald*
Affiliation:
Universität der Bundeswehr München;
Christian Forsteneichner
Affiliation:
BMW Motorrad
David Vahrenhorst
Affiliation:
Universität der Bundeswehr München;
Kristin Paetzold
Affiliation:
Universität der Bundeswehr München;
*
Contact: Schönwald, Julian Ralf, Universität der Bundeswehr München, Institute for technical product development, Germany, julian.schoenwald@unibw.de

Abstract

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In testing and simulation departments in product development (PD) data types, data structures and data storage are often very different. Exchange of data and information is normally not automated and often not supported by management systems. This can lead to loss of time and information. A literature study in combination with 20 expert interviews and the analysis of documents as well as data storage structures and IT systems in a PD department of a motorcycle manufacturer were performed. Test and simulation processes were classified and standardized, documentation formats analyzed, standards in Test Data Management (TDM) and Simulation Data Management (SDM) as well as verification and validation processes compared. IT support in SDM is better than in TDM. An integration of TDM and SDM could lead to improved collaboration between testing and simulation departments. Options for this integration could be specific ontologies, object-oriented interfaces, a higher-level intermediate application, use of a common standard or integration of one standard into another one.

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) 2019

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