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.
|Title of host publication||Proceedings of the Design Society: DESIGN Conference|
|Publisher||Cambridge University Press|
|Publication status||Published - 2020|
|Event||Design 2020 - Cavtat, Croatia|
Duration: 26 Oct 2020 → 29 Oct 2020
|Period||26/10/2020 → 29/10/2020|
|Series||The DESIGN Conference|
Bibliographical noteThis is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), 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
Sigsgaard, K. V., Agergaard, J. K., Bertram, C. A., Mortensen, N. H., Soleymani, I., Khalid, W., Hansen, K. B., & Mueller, G. O. (2020). Structuring and Contextualizing Historical Data for Decision Making in Early Development. In Proceedings of the Design Society: DESIGN Conference (Vol. 1, pp. 393-402). Cambridge University Press. The DESIGN Conference https://doi.org/10.1017/dsd.2020.113