---
res:
  bibo_abstract:
  - "<jats:title>ABSTRACT:</jats:title>\r\n                  <jats:p>Engineers simulate
    system behavior to support decisions in product engineering. Leveraging such engineering
    simulation data in strategic product planning can support idea generation and
    early evaluation of design alternatives and limitations. However, limited resources
    and expertise hinder broader uptake in strategic product planning. This paper
    investigates simulator integration into automated workflows and key processing
    components to enable simulation without in-depth expertise. This approach improves
    strategic product planning by creating data-based decision support.</jats:p>@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: Niklas
      foaf_name: Döhner, Niklas
      foaf_surname: Döhner
      foaf_workInfoHomepage: http://www.librecat.org/personId=108017
    orcid: https://orcid.org/0009-0005-7676-4036
  bibo_doi: 10.1017/pds.2026.10394
  bibo_volume: 6
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2732-527X
  dct_language: eng
  dct_publisher: Cambridge University Press (CUP)@
  dct_subject:
  - simulation-based design
  - design tools
  - multi-/cross-/trans-disciplinary approaches
  - simulation data reuse
  dct_title: 'Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary
    simulator integration@'
...