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

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.

Engineering Graph as an Approach to Support Design Decisions in Product Development

“…The Engineering Graph is a concept that leverages graph databases to connect data from different systems and silos including publicly available information (Schweitzer et al, 2022). The concept was first introduced by Schweitzer et al (2022) to provide an artificial intelligence (AI) ready knowledge base to support AI use cases in engineering.…”

“…The Engineering Graph is a concept that leverages graph databases to connect data from different systems and silos including publicly available information (Schweitzer et al, 2022). The concept was first introduced by Schweitzer et al (2022) to provide an artificial intelligence (AI) ready knowledge base to support AI use cases in engineering. The need therefore was identified by analyzing the AI building blocks and finding the need for a knowledge base that connects all engineering objects and includes publicly available information to provide further context (Schweitzer et al, 2020(Schweitzer et al, , 2021.…”