Determination of future robust product features for modular product family design

Publikationstyp
Conference Paper
Date Issued
2019-11
Sprache
English
Author(s)
Greve, Erik 
Rennpferdt, Christoph  orcid-logo
Hartwich, Tobias Simeon  
Krause, Dieter  orcid-logo
Institut
Produktentwicklung und Konstruktionstechnik M-17  
TORE-URI
http://hdl.handle.net/11420/4799
Citation
ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) (14): (2019-11)
Contribution to Conference
ASME International Mechanical Engineering Congress and Exposition, IMECE 2019  
Publisher DOI
10.1115/IMECE2019-10497
Scopus ID
2-s2.0-85078798351
Modular product architecture design allows product variants to be derived with little effort and cost. An essential part of designing modular product architectures is fulfilling customer-relevant product features, which represent the differentiating aspects for the customer and, thus, stand for the economic success of a product variant. However, product features are not only subject to high fluctuations due to changing environmental influences, but are also of varying relevance to customers over time. Not considering these aspects in the development phase can lead to costly changes in the product architecture later on. To counteract this, these two perspectives are merged and a methodical approach is introduced that identifies new product features and analyses their future development in the context of customer benefit. For this purpose, the current and future relevance to customers as well as uncertainties are calculated using Adaptive Conjoint Analysis and a Monte Carlo simulation. The results are consolidated in a visualization and the product features are classified according to their future implementation in robust product architecture. The procedure is explained using the example of a product family of vacuum cleaning robots.
Subjects
Customer benefits
Design for variety
Dynamics of requirements
Robust design
Uncertainty