@inproceedings{66288,
  abstract     = {{<jats:title>ABSTRACT:</jats:title>
                  <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>}},
  author       = {{Gräßler, Iris and Döhner, Niklas}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  keywords     = {{simulation-based design, design tools, multi-/cross-/trans-disciplinary approaches, simulation data reuse}},
  pages        = {{357--366}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration}}},
  doi          = {{10.1017/pds.2026.10394}},
  volume       = {{6}},
  year         = {{2026}},
}