The 17th INTERNATIONAL DESIGN CONFERENCE
DESIGN 2022
The 17th INTERNATIONAL DESIGN CONFERENCE - May 23-26, 2022 - Hotel Croatia, Cavtat, CAVTAT - DUBROVNIK, Croatia
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.
Using Machine Learning for Product Portfolio Management: A Methodical Approach to Predict Values of Product Attributes for Multi-Variant Product Portfolios
Jan Mehlst
Type:
Year:
2022
Editor:
Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author:
Series:
DESIGN
Institution:
1: Universit
Section:
Artificial Intelligence and Data-Driven Design
Page(s):
1659-1668
DOI number:
ISSN:
2732-527X (Online)
Abstract:
To satisfy customer needs in the best way, companies offer them an almost infinite number of product variants. Although, an identical product was not built before, the values of its attributes must be determined during the product configuration process. This paper introduces a methodical approach to predict the values of product attributes based on customer feature configurations using machine learning. Machine learning reduces the effort compared to rule-based expert systems and is both, more accurate and faster. The approach was validated by predicting vehicle weights using industrial data.
Keywords:
