---
res:
  bibo_abstract:
  - Manufacturing companies increasingly integrate the strive towards sustainability
    into product engineering to reduce resource consumption and environmental impacts.
    A substantial share of a product’s environmental performance is determined during
    engineering. Early assessments rely on generic data, which is gradually replaced
    by more concrete simulation and primary data as product maturity increases. The
    effective use of engineering simulation models for Life Cycle Assessment (LCA)
    therefore remains a central challenge under heterogeneous, distributed and rapidly
    evolving data. This article presents a systematic review of product engineering
    approaches for integrating simulation models into LCA. A seven-step research approach
    is applied to identify, categorize and evaluate existing approaches across CAx
    tools. Relevant simulation parameters for sustainability assessment, including
    material properties, process descriptors, consumables and waste streams, are identified
    and analyzed. Based on identified data characteristics, the potential of Data
    Science and Artificial Intelligence methods for LCA data preparation is assessed.
    A conceptual knowledge-graph-based decision support approach is derived to enable
    structured integration, traceability and reuse of simulation data for sustainability
    assessment. The approach is evaluated using criteria from literature. Structured
    integration of simulation data improves early-stage data quality and supports
    decision-making in sustainable product engineering.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Iris
      foaf_name: Gräßler, Iris
      foaf_surname: Gräßler
      foaf_workInfoHomepage: http://www.librecat.org/personId=47565
    orcid: 0000-0001-5765-971X
  - foaf_Person:
      foaf_givenName: Simon
      foaf_name: Aydin, Simon
      foaf_surname: Aydin
      foaf_workInfoHomepage: http://www.librecat.org/personId=74512
  - foaf_Person:
      foaf_givenName: Sven
      foaf_name: Rarbach, Sven
      foaf_surname: Rarbach
      foaf_workInfoHomepage: http://www.librecat.org/personId=67999
    orcid: https://orcid.org/0000-0003-0602-9923
  bibo_doi: 10.17619/UNIPB/1-2637
  dct_date: 2026^xs_gYear
  dct_language: eng
  dct_publisher: LibreCat University@
  dct_title: Systematic review of engineering simulation models for life cycle assessment@
...
