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<titleInfo><title>Hybrid decision support in strategic product planning</title></titleInfo>




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<name type="personal">
  <namePart type="given">Iris</namePart>
  <namePart type="family">Gräßler</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">47565</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0001-5765-971X</description></name>
<name type="personal">
  <namePart type="given">Julius Hendrik</namePart>
  <namePart type="family">Goldstein</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">63262</identifier></name>



<name type="personal"><namePart type="given">Iris</namePart><namePart type="family">Gräßler</namePart>
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  <namePart>International Symposium on Hybrid Intelligence in Product and Production Engineering 1. 2026 Paderborn</namePart>
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<abstract lang="eng">Strategic product planning defines foresighted directions for product engineering by determining which ideas, technologies and concepts are pursued further. Decisions made in this phase strongly influence subsequent life cycle phases but are characterized by high uncertainty, fragmented information, and predominantly qualitative assessment practices. At the same time, increasing digitalization generates large, heterogeneous, and dynamic data from markets, engineering, usage, and sustainability domains. In this work, such information is understood as extreme data, as its heterogeneity, variety, and dynamics exceed the capabilities of traditional planning approaches. This paper investigates the potential of leveraging extreme data to strengthen hybrid decision support in strategic product planning. A structured literature review is conducted to identify key challenges. These challenges are analysed along the generic product life cycle to capture decision points, information flows, and information circularity. Relevant data sources are identified with respect to their relevance for strategic decisions. Based on this analysis, seventeen potentials for hybrid decision support are derived and clustered into five fields of action. The results indicate that extreme data can enhance strategic foresight, idea evaluation and portfolio decisions, lifecycle-spanning knowledge integration, engineering support for strategic decisions, and the adoption of AI-based methods.</abstract>

<originInfo><publisher>Universitätsbibliothek</publisher><dateIssued encoding="w3cdtf">2026</dateIssued><place><placeTerm type="text">Paderborn</placeTerm></place>
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<relatedItem type="host"><titleInfo><title>1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University</title></titleInfo><identifier type="doi">10.17619/UNIPB/1-2644</identifier>
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<mla>Gräßler, Iris, and Julius Hendrik Goldstein. “Hybrid Decision Support in Strategic Product Planning.” &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt;, edited by Iris Gräßler, Universitätsbibliothek, 2026, doi:&lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2644&quot;&gt;10.17619/UNIPB/1-2644&lt;/a&gt;.</mla>
<bibtex>@inproceedings{Gräßler_Goldstein_2026, title={Hybrid decision support in strategic product planning}, DOI={&lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2644&quot;&gt;10.17619/UNIPB/1-2644&lt;/a&gt;}, booktitle={1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University}, publisher={Universitätsbibliothek}, author={Gräßler, Iris and Goldstein, Julius Hendrik}, editor={Gräßler, Iris}, year={2026} }</bibtex>
<ama>Gräßler I, Goldstein JH. Hybrid decision support in strategic product planning. In: Gräßler I, ed. &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt;. Universitätsbibliothek; 2026. doi:&lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2644&quot;&gt;10.17619/UNIPB/1-2644&lt;/a&gt;</ama>
<ieee>I. Gräßler and J. H. Goldstein, “Hybrid decision support in strategic product planning,” in &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt;, Paderborn, 2026, doi: &lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2644&quot;&gt;10.17619/UNIPB/1-2644&lt;/a&gt;.</ieee>
<apa>Gräßler, I., &amp;#38; Goldstein, J. H. (2026). Hybrid decision support in strategic product planning. In I. Gräßler (Ed.), &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt;. Universitätsbibliothek. &lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2644&quot;&gt;https://doi.org/10.17619/UNIPB/1-2644&lt;/a&gt;</apa>
<short>I. Gräßler, J.H. Goldstein, in: I. Gräßler (Ed.), 1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University, Universitätsbibliothek, 2026.</short>
<chicago>Gräßler, Iris, and Julius Hendrik Goldstein. “Hybrid Decision Support in Strategic Product Planning.” In &lt;i&gt;1st International Symposium: March 24 – 26, 2026, Heinz Nixdorf Institute, Paderborn University&lt;/i&gt;, edited by Iris Gräßler. Universitätsbibliothek, 2026. &lt;a href=&quot;https://doi.org/10.17619/UNIPB/1-2644&quot;&gt;https://doi.org/10.17619/UNIPB/1-2644&lt;/a&gt;.</chicago>
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