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Investigating low data consistency in work planning processes – causes, measures, and opportunities

Published online by Cambridge University Press:  16 May 2024

Valesko Dausch ,
Christopher Langner ,
Daniel Roth ,
Matthias Kreimeyer  and
Matthias R. Guertler
Valesko Dausch*
Affiliation:
University of Stuttgart, Germany
Christopher Langner
Affiliation:
University of Stuttgart, Germany
Daniel Roth
Affiliation:
University of Stuttgart, Germany
Matthias Kreimeyer
Affiliation:
University of Stuttgart, Germany
Matthias R. Guertler
Affiliation:
University of Technology Sydney, Australia
*
[email protected]

Abstract

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Digital transformation increases the need for interdisciplinary collaboration along the product lifecycle. It is currently hindered by a low data consistency resulting from the use of heterogeneous systems and data models. Especially in work planning, where several data models are combined, this decreases efficiency. Systems Lifecycle management (SysLM) offers a solution to this remedy. However, a sudden switch to SysLM is not possible in brownfields. Thus, it is necessary to examine the challenges and opportunities to derive case-specific measures that enable its adoption in work planning.

Keywords

data consistencysystem lifecycle managementindustry 4.0information managementproduct lifecycle management (PLM)
Type
Design Organisation, Collaboration and Management
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 225 - 234
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), 2024.

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