---
_id: '66514'
abstract:
- lang: eng
  text: 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.
author:
- first_name: Iris
  full_name: Gräßler, Iris
  id: '47565'
  last_name: Gräßler
  orcid: 0000-0001-5765-971X
- first_name: Simon
  full_name: Aydin, Simon
  id: '74512'
  last_name: Aydin
- first_name: Sven
  full_name: Rarbach, Sven
  id: '67999'
  last_name: Rarbach
  orcid: https://orcid.org/0000-0003-0602-9923
citation:
  ama: 'Gräßler I, Aydin S, Rarbach S. Systematic review of engineering simulation
    models for life cycle assessment. In: Gräßler I, ed. <i>International Symposium
    on Hybrid Intelligence in Product and Production Engineering</i>. LibreCat University;
    2026. doi:<a href="https://doi.org/10.17619/UNIPB/1-2637">10.17619/UNIPB/1-2637</a>'
  apa: Gräßler, I., Aydin, S., &#38; Rarbach, S. (2026). Systematic review of engineering
    simulation models for life cycle assessment. In I. Gräßler (Ed.), <i>International
    Symposium on Hybrid Intelligence in Product and Production Engineering</i>. LibreCat
    University. <a href="https://doi.org/10.17619/UNIPB/1-2637">https://doi.org/10.17619/UNIPB/1-2637</a>
  bibtex: '@inproceedings{Gräßler_Aydin_Rarbach_2026, title={Systematic review of
    engineering simulation models for life cycle assessment}, DOI={<a href="https://doi.org/10.17619/UNIPB/1-2637">10.17619/UNIPB/1-2637</a>},
    booktitle={International Symposium on Hybrid Intelligence in Product and Production
    Engineering}, publisher={LibreCat University}, author={Gräßler, Iris and Aydin,
    Simon and Rarbach, Sven}, editor={Gräßler, Iris}, year={2026} }'
  chicago: Gräßler, Iris, Simon Aydin, and Sven Rarbach. “Systematic Review of Engineering
    Simulation Models for Life Cycle Assessment.” In <i>International Symposium on
    Hybrid Intelligence in Product and Production Engineering</i>, edited by Iris
    Gräßler. LibreCat University, 2026. <a href="https://doi.org/10.17619/UNIPB/1-2637">https://doi.org/10.17619/UNIPB/1-2637</a>.
  ieee: 'I. Gräßler, S. Aydin, and S. Rarbach, “Systematic review of engineering simulation
    models for life cycle assessment,” in <i>International Symposium on Hybrid Intelligence
    in Product and Production Engineering</i>, 2026, doi: <a href="https://doi.org/10.17619/UNIPB/1-2637">10.17619/UNIPB/1-2637</a>.'
  mla: Gräßler, Iris, et al. “Systematic Review of Engineering Simulation Models for
    Life Cycle Assessment.” <i>International Symposium on Hybrid Intelligence in Product
    and Production Engineering</i>, edited by Iris Gräßler, LibreCat University, 2026,
    doi:<a href="https://doi.org/10.17619/UNIPB/1-2637">10.17619/UNIPB/1-2637</a>.
  short: 'I. Gräßler, S. Aydin, S. Rarbach, in: I. Gräßler (Ed.), International Symposium
    on Hybrid Intelligence in Product and Production Engineering, LibreCat University,
    2026.'
date_created: 2026-07-16T09:41:28Z
date_updated: 2026-07-16T09:46:14Z
department:
- _id: '152'
doi: 10.17619/UNIPB/1-2637
editor:
- first_name: Iris
  full_name: Gräßler, Iris
  last_name: Gräßler
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://digital.ub.uni-paderborn.de/hs/download/pdf/8359171
oa: '1'
publication: International Symposium on Hybrid Intelligence in Product and Production
  Engineering
publisher: LibreCat University
quality_controlled: '1'
status: public
title: Systematic review of engineering simulation models for life cycle assessment
type: conference
user_id: '74512'
year: '2026'
...