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DATA ANALYSIS METHOD SUPPORTING CAUSE AND EFFECT STUDIES IN PRODUCT-SERVICE SYSTEM DEVELOPMENT

Part of: Design Support Tools

Published online by Cambridge University Press:  11 June 2020

J. Wall ,
O. K. Aeddula  and
T. Larsson
J. Wall*
Affiliation:
Blekinge Institute of Technology, Sweden
O. K. Aeddula
Affiliation:
Blekinge Institute of Technology, Sweden
T. Larsson
Affiliation:
Blekinge Institute of Technology, Sweden
*
*johan.wall@bth.se

Abstract

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A data analysis method aiming to support cause and effect analysis in design exploration studies is presented. The method clusters and aggregates effects of multiple design variables based on the structural hierarchy of the evaluated system. The resulting dataset is intended as input to a visualization construct based on colour-coding CAD models. The proposed method is exemplified in a case study showing that the predictive capability of the created, clustered, dataset is comparable to the original, unmodified, one.

Keywords

visualisationproduct-service systems (PSS)product developmentdata analysis
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 461 - 470
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This 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.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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