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Cost Optimization of Product Families Using Solution Spaces: Application to Early-Stage Electric Vehicle Design

Published online by Cambridge University Press:  26 May 2022

S. Rötzer ,
V. Berger  and
M. Zimmermann
S. Rötzer*
Affiliation:
Technical University of Munich, Germany
V. Berger
Affiliation:
DeepDrive GmbH, Germany
M. Zimmermann
Affiliation:
Technical University of Munich, Germany
*
sebastian.roetzer@tum.de

Abstract

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Companies offer products in different variants to reach more customers. This increases internal variety and cost. However, reducing those cost is difficult due to complexity. Complexity arises from: combinatorics; many design variables interacting with each other; coupling of technical and economical perspectives. This paper presents an approach based on (1) building a complex system model of modular models; (2) identifying the potential for standardization from a technical perspective; (3) cost-optimizing the degree of standardization. A product family of electric vehicles was optimized.

Keywords

product familiesoptimisationcomplexitysolution space engineeringdata-driven design
Type
Article
Information
Proceedings of the Design Society , Volume 2: DESIGN2022 , May 2022 , pp. 583 - 592
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), 2022.

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