DFX 2022 33rd SYMPOSIUM DESIGN FOR X
The 33rd DfX Symposium will take place on 22nd & 23rd September 2022 in Hamburg.. DFX 2022 offers young scientists a platform for presenting new ideas and approaches for improving product development.
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Recommender Systems for Variant Management in the Automotive Industry
Thorsten Schmidt, Anastasia Marbach, Frank Mantwill
Type:
Year:
2022
Editor:
Dieter Krause, Kristin Paetzold, Sandro Wartzack
Author:
Series:
DfX
Institution:
Institute of Machine Elements and Computer Aided Product Design (MRP), Helmut Schmidt University Hamburg
Page(s):
10
DOI number:
Abstract:
This paper transfers some state-of-the-art methods of recommender systems for an application in the product development process of variant rich products in the automotive industry. Therefore, an introduction into the characteristics of the rule-based description of variant-rich products is given, followed by a presentation of three selected recommendation approaches, namely Collaborative Filtering, Association Rule Mining and Bayesian Networks. The presented approaches are then evaluated against the background of the variant-rich product configuration. Advantages and disadvantages of the methods in regard of this special use-case are highlighted and possible applications and limitations are discussed. In conclusion, further research needs for future implementation are identified.
Keywords:
