Mining data to design value: A demonstrator in early design

DS 87-7 Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 7: Design Theory and Research Methodology, Vancouver, Canada, 21-25.08.2017

Year: 2017
Editor: Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author: Bertoni, Alessandro; Larsson, Tobias; Larsson, Jonas; Elfsberg, Jenny
Series: ICED
Institution: 1: Blekinge Institute of Technology, Sweden; 2: Volvo Construction Equipment, Sweden
Section: Design Theory and Research Methodology
Page(s): 021-029
ISBN: 978-1-904670-95-7
ISSN: 2220-4342


bility of data mining algorithms as decision support in early design stages of a complex product development project. The paper describes a scenario built in two-stages providing the rationale for the application of data science in engineering design. Furthermore, it describes a demonstrator where usage data are fed back to the early design stage and used to populate value models to reduce the uncertainty in engineering design decision making. The development of a new machine for construction equipment, a wheel loader, is the subject of the demonstration and machine learning algorithms are applied on a dataset built on machine performances and contextual and environmental data. The demonstrator allows the estimation of the fuel consumption of different design concepts and the analysis of the performance variations given by a change in a contextual or environmental variable. Finally, the demonstrator allows the visualization of how much the tested performances of a new design deviate from the original designers’ expectations.

Keywords: Early design phases, Case study, Data mining, Value Driven Design, Decision making


Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.