Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration Gräßler, Iris Döhner, Niklas simulation-based design design tools multi-/cross-/trans-disciplinary approaches simulation data reuse <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> Cambridge University Press (CUP) 2026 info:eu-repo/semantics/conferenceObject doc-type:conferenceObject text http://purl.org/coar/resource_type/c_5794 https://ris.uni-paderborn.de/record/66288 Gräßler I, Döhner N. Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration. In: <i>Proceedings of the Design Society</i>. Vol 6. Cambridge University Press (CUP); 2026:357-366. doi:<a href="https://doi.org/10.1017/pds.2026.10394">10.1017/pds.2026.10394</a> eng info:eu-repo/semantics/altIdentifier/doi/10.1017/pds.2026.10394 info:eu-repo/semantics/altIdentifier/issn/2732-527X info:eu-repo/semantics/openAccess