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

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Gregor M. Schweitzer (1), Simon M
Series: DESIGN
Institution: 1: Fresenius Medical Care, Germany; 2: Saarland University, Germany
Section: Design for Sustainability
Page(s): 1129-1138
DOI number: https://doi.org/10.1017/pds.2022.115
ISSN: 2732-527X (Online)

Abstract

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