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ENGINEERING GRAPH AS AN APPROACH TO SUPPORT DESIGN DECISIONS IN PRODUCT DEVELOPMENT

Published online by Cambridge University Press:  19 June 2023

Gregor Schweitzer ,
Michael Bitzer  and
Michael Vielhaber
Gregor Schweitzer*
Affiliation:
Fresenius Medical Care
Michael Bitzer
Affiliation:
Fresenius Medical Care
Michael Vielhaber
Affiliation:
Saarland University
*
Schweitzer, Gregor, Fresenius Medical Care, Germany, gregor.schweitzer@gmail.com

Abstract

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The requirements space is increasing due to non-functional areas such as security, resilience and sustainability gaining in importance. This creates a complex and dynamic space which makes it hard for engineers to take good data driven design decisions. Increasing the quality of design decisions allows to better set up development projects and develop more successful products and services. The design can most heavily be influenced in the early design phases, where design flexibility is high and resource commitment is low. Unfortunately, the system knowledge is also low in early phases. The Engineering Graph is a concept that connects data from different internal and external sources. It allows to connect product data stored in Product Lifecycle Management systems with system models and also add external sources from the Wikimedia Knowledge Graph, World Health Organization and World Bank. This interconnected data allows the support of engineers in managing the complex and dynamic requirement space and provide high system knowledge in the early design phases to support design decisions.

Keywords

Product Lifecycle Management (PLM)Early design phasesSemantic data processingEngineering GraphDesign Decisions
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 1625 - 1634
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), 2023. Published by Cambridge University Press

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