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

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Sebastian R
Series: DESIGN
Institution: 1: Technical University of Munich, Germany; 2: DeepDrive GmbH, Germany
Section: Design Support Tools and Methods
Page(s): 583-592
DOI number:
ISSN: 2732-527X (Online)


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 families, optimisation, complexity, solution space engineering, data-driven design

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