Data driven product portfolio analysis of electric motors based on product platforms using knowledge-based systems

Tüchsen J, Pop AC, Koch M, Schleich B, Wartzack S (2019)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Publisher: Cambridge University Press

City/Town: Cambridge, United Kingdom

Pages Range: 2537-2546

Conference Proceedings Title: Proceedings of the 22nd International Conference on Engineering Design (ICED19)

Event location: Delft

URI: https://www.cambridge.org/core/journals/proceedings-of-the-international-conference-on-engineering-design/article/data-driven-product-portfolio-analysis-of-electric-motors-based-on-product-platforms-using-knowledgebased-systems/CD8E7AB583F0470AD39358B619DA485B

DOI: 10.1017/dsi.2019.260

Open Access Link: https://www.cambridge.org/core/journals/proceedings-of-the-international-conference-on-engineering-design/article/data-driven-product-portfolio-analysis-of-electric-motors-based-on-product-platforms-using-knowledgebased-systems/CD8E7AB583F0470AD39358

Abstract

For a company it is necessary to know, which products can be configured using carry-over-parts or the same technology. This can become quite relevant in the context of automobile electrification, where complex mechatronic systems are used. Consisting of various mechanical components, these systems perform the required function while being actuated by electronically controlled motors. To solve this, a novel mechanism for data driven portfolio analysis based on product platforms using knowledge-based systems is proposed in this paper. Further, the mechanism is tested by applying it to an electrical motors' case study. Using this method, all possible combinations of a product platform are calculated and finally displayed in different product portfolios. Additionally, all the non-feasible motor designs are removed from the solutions portfolio using the acquired knowledge base and performing design checks. The latter are employed for penalising and eliminating from the pareto-front of the designs, which violate the thermal, mechanical and acoustic constraints. The generated product portfolio can be used further to expand the systems engineering collaboration and support decision-making.

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How to cite

APA:

Tüchsen, J., Pop, A.-C., Koch, M., Schleich, B., & Wartzack, S. (2019). Data driven product portfolio analysis of electric motors based on product platforms using knowledge-based systems. In Proceedings of the 22nd International Conference on Engineering Design (ICED19) (pp. 2537-2546). Delft: Cambridge, United Kingdom: Cambridge University Press.

MLA:

Tüchsen, Johann, et al. "Data driven product portfolio analysis of electric motors based on product platforms using knowledge-based systems." Proceedings of the International Conference on Engineering Design (ICED19), Delft Cambridge, United Kingdom: Cambridge University Press, 2019. 2537-2546.

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