Bertoni, Alessandro and Yi, Xin and Baron, Claude and Esteban, Philippe
and Vingerhoeds, Rob A.
A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making.
(2020)
International Journal of Product Development, 24 (1). 68-94. ISSN 1477-9056
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(Document in English)
PDF (Publisher's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 1MB |
Official URL: http://doi.org/10.1504/IJPD.2020.10028179
Abstract
The paper presents a four-layer framework for the application of data-driven design in a product innovation process. The framework builds on the Knowledge Value Stream and on the Product Value Streams of a product innovation process and indicates how data-driven activities shall be structured and organised in relation to the different phases of a model-based decision process. Visualisation is proposed as a communication enabler at the top of the framework to overcome the comprehensibility barrier between data science and engineering design models. The framework is implemented in the case study of a construction equipment encompassing the analysis of operational machine data and the experimentation of suitable visualisation techniques. Ultimately, a list of challenges for the implementation of data-driven design is presented, and the capability of the framework to support the transition toward data-driven design is discussed in relation to the emergence of product-service systems solutions.
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