Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Mining data to design value: A demonstrator in early design
Bertoni, Alessandro; Larsson, Tobias; Larsson, Jonas; Elfsberg, Jenny
Type:
Year:
2017
Editor:
Anja Maier, Stanko Škec, Harrison Kim, Michael Kokkolaras, Josef Oehmen, Georges Fadel, Filippo Salustri, Mike Van der Loos
Author:
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
Abstract:
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:
