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

Communication avec acte
Author
BRIARD, Tristan
ccJEAN, Camille
VÉRON, Philippe
58355 École Nationale Supérieure des Arts et Métiers [ENSAM]
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
LE CARDINAL, Julie
411575 CentraleSupélec
1043712 Laboratoire Génie Industriel [LGI]
ccWARTZACK, Sandro
311714 Friedrich-Alexander Universität Erlangen-Nürnberg = University of Erlangen-Nuremberg [FAU]
ccAOUSSAT, Améziane
127758 Laboratoire Conception de Produits et Innovation [LCPI]
301320 École Nationale Supérieure d'Arts et Métiers [ENSAM]
1003434 Arts et Métiers Sciences et Technologies

URI
http://hdl.handle.net/10985/23391
DOI
10.1017/pds.2021.85
Date
2021-07-27

Abstract

AbstractWith 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.

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