AI- and data science-driven decision support: transforming early product creation and collaboration in product development / Michael Tatschl, Gerolf Schalk, Hannes Hick

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Titel
AI- and data science-driven decision support : transforming early product creation and collaboration in product development / Michael Tatschl, Gerolf Schalk, Hannes Hick
Autor
Tatschl, Michael ; Schalk, Gerolf ; Hick, Hannes
Enthalten in
1st International Symposium : March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University / is organized by the Chair for Product Creation at Heinz Nixdorf Institute ; Editors: Prof. Dr.-Ing. Iris Graessler (Paderborn University), Seite 179-188
Erschienen
Paderborn : Universitätsbibliothek, 2026
Umfang
1 Online-Ressource (Seite 179-188) : Illustrationen, Diagramme
Sprache
Englisch
Dokumenttyp
Wissenschaftlicher Artikel (Elektronische Erstveröffentlichung)
URN
urn:nbn:de:hbz:466:2-58843
DOI
https://doi.org/10.17619/UNIPB/1-2647

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Abstract

Early product creation involves decision-making under uncertainty, driven by heterogeneous customer inputs, multidisciplinary dependencies, and iterative stakeholder coordination. Translating informal customer needs into precise system definitions remains a significant challenge. This paper proposes an AI- and data science (DS)-driven automation framework that integrates customer-interactive, human-in-the-loop requirements engineering with automated system concept development and evaluation. The approach is validated using an unmanned aerial vehicle use case in an industrial-grade digital engineering environment. The results demonstrate how integrated AI- and DS-supported workflows can improve efficiency, decision-making quality, coordination, and traceability in early product creation.

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