Sustainable Product Development and Production with AI and Knowledge Graphs
Abstract Knowledge graphs and AI enable rapid sustainability assessment in product development. Knowledge graphs structure interconnected semantic information, enhancing data interoperability and managing complex relationships. AI leverages this to automate analysis and aid decision-making. By embedding sustainability metrics, the environmental impacts of choices in product development can be compared. This article reviews knowledge graphs in sustainability assessment and AI’s role in enhancing these capabilities. It also presents a case study on carbon footprint analysis through knowledge graphs and AI.
Authors
- Lucas Greif (ORCID: https://orcid.org/0009-0002-0594-1953)
- Svenja Hauck
Institutions
- Karlsruhe Institute of Technology (DE)
Publication Details
- Journal
- Zeitschrift für wirtschaftlichen Fabrikbetrieb
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1515/zwf-2024-0119
- Citations
- 1
- Primary Topic
- Environmental Impact and Sustainability
- Type
- article
- Field-Weighted Citation Impact
- 0.80