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AUTOMATED PRODUCT FUNCTIONALITY AND DESIGN OPTIMIZATION INSTANCING A PRODUCT-SERVICE SYSTEM

Part of: Design Innovation, Information and Knowledge

Published online by Cambridge University Press:  11 June 2020

P. Wolniak ,
B. Sauthoff ,
D. Kloock-Schreiber  and
R. Lachmayer
P. Wolniak*
Affiliation:
Leibniz Universität Hannover, Germany
B. Sauthoff
Affiliation:
Leibniz Universität Hannover, Germany
D. Kloock-Schreiber
Affiliation:
Leibniz Universität Hannover, Germany
R. Lachmayer
Affiliation:
Leibniz Universität Hannover, Germany
*
*wolniak@ipeg.uni-hannover.de

Abstract

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When using product-service systems as a business model, new product development challenges and opportunities arise. Due to the possibility of customizing the product fleet depending on the user-scenarios, more product variants are possible and often necessary. Therefore, this paper presents an approach for the automated functionality and design optimization for user scenario specific use cases. The approach combines an optimization framework with a functional simulation model and a generative design approach CAD model. This results in a robust and simultaneously flexible design environment.

Keywords

design optimisationgenerative design approachknowledge-based engineering (KBE)product-service systems (PSS)

Information

Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 1405 - 1414
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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