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DATA-DRIVEN DESIGN CHALLENGES IN THE EARLY STAGES OF THE PRODUCT DEVELOPMENT PROCESS

Published online by Cambridge University Press:  27 July 2021

Tristan Briard*
Affiliation:
École nationale supérieure d'arts et métiers (ENSAM);
Camille Jean
Affiliation:
École nationale supérieure d'arts et métiers (ENSAM);
Améziane Aoussat
Affiliation:
École nationale supérieure d'arts et métiers (ENSAM);
Philippe Véron
Affiliation:
École nationale supérieure d'arts et métiers (ENSAM);
Julie Le Cardinal
Affiliation:
CentraleSupélec (CS);
Sandro Wartzack
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg;
*
Briard, Tristan, École nationale supérieure d'arts et métiers (ENSAM), LCPI - Laboratoire Innovation Conception Produit, France, tristan.briard@ensam.eu

Abstract

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With the rapid development of digital technologies, products connectivity is increasing as well as the data produced and collected. Forecasts on product development predict that this trend will keep on growing. In this context, new design solutions based on data are emerging. Those data-driven design approaches are common for identifying the customers' need when developing a new product. However, few studies cover data-driven design in the other early stages of product design. Thus, the research question addressed in this paper is: what are the challenges of data-driven design research in the early phases of the product development process? Through a literature review and a workshop proposed at the conference DESIGN 2020, this paper offers a first glimpse of future research leads. A list of 5 challenges for data-driven design in the early stages of product design is proposed and ranked from short term to long term.

Type
Article
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), 2021. Published by Cambridge University Press

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