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Detection of Cause-Effect Relationships in Life Cycle Sustainability Assessment Based on an Engineering Graph

Published online by Cambridge University Press:  26 May 2022

G. M. Schweitzer ,
S. Mörsdorf ,
M. Bitzer  and
M. Vielhaber
G. M. Schweitzer*
Affiliation:
Fresenius Medical Care, Germany
S. Mörsdorf
Affiliation:
Saarland University, Germany
M. Bitzer
Affiliation:
Fresenius Medical Care, Germany
M. Vielhaber
Affiliation:
Saarland University, Germany
*
gregor.schweitzer@fmc-ag.com

Abstract

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Although Life Cycle Sustainability Assessments (LCSA) are important in evaluating the sustainability of complex products and services, there is no sufficient support for engineers performing LCSA. The concept of an Engineering Graph focuses on the relations of data within engineering. It provides a model that leverages existing data in engineering and extendibility to include specialized databases and open and public data from the semantic web. This paper proposes a concept of how Engineering Graphs can be used to address the issues of LCSA and support engineers.

Keywords

model-based systems engineering (MBSE)life cycle assessment (LCA)artificial intelligence (AI)life cycle sustainability assessment (LCSA)engineering graph

Information

Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 1129 - 1138
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), 2022.

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