Title: A framework for data-driven design in a product innovation process: data analysis and visualisation for model-based decision making
Authors: Alessandro Bertoni; Xin Yi; Claude Baron; Phillippe Esteban; Rob Vingerhoeds
Addresses: Department of Mechanical Engineering, Blekinge Institute of Technology, 37179, Karlskrona, Sweden ' LAAS-CNRS, Université de Toulouse, CNRS, INSA, 7 av. du Colonel Roche, 31400, Toulouse, France ' LAAS-CNRS, Université de Toulouse, CNRS, INSA, 7 av. du Colonel Roche, 31400, Toulouse, France; ISAE-SUPAERO, Université de Toulouse, 10 av. Edouard Belin, 31400 Toulouse, France ' LAAS-CNRS, Université de Toulouse, CNRS, Université Toulouse III - Paul Sabatier, 7 av. du Colonel Roche, 31400, Toulouse, France ' ISAE-SUPAERO, Université de Toulouse, 10 av. Edouard Belin, 31400 Toulouse, France
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.
Keywords: data-driven design; product innovation; product value stream; knowledge value stream; decision making; data visualisation; data analysis.
International Journal of Product Development, 2020 Vol.24 No.1, pp.68 - 94
Accepted: 23 Feb 2020
Published online: 07 Apr 2020 *