Structuring and Contextualizing Historical Data for Decision Making in Early Development

K. V. Sigsgaard*, J. K. Agergaard, C. A. Bertram, N. H. Mortensen, I. Soleymani, W. Khalid, K. B. Hansen, G. O. Mueller

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    It is important to be able to compare and evaluate different solutions early in development. This paper proposes a method for structuring historical data into a data model that can support the evaluation of new design concepts. The data is contextualized by linking it to a hierarchical decomposition of existing products. Two case studies were conducted to evaluate the value of using historical data when evaluating new concepts. The cases confirm that the proposed method is useful for evaluation of new concepts.
    Original languageEnglish
    Title of host publicationProceedings of the Design Society: DESIGN Conference
    PublisherCambridge University Press
    Publication date2020
    Publication statusPublished - 2020
    EventDesign 2020 - Cavtat, Croatia
    Duration: 26 Oct 202029 Oct 2020


    ConferenceDesign 2020
    SeriesThe DESIGN Conference

    Bibliographical note

    This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (, which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.


    • Big data analysis
    • Design analysis
    • Systematic approach


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