Data Driven Design Selection and Generation - An Industrial Case Study on Electric Motors
Tüchsen J, Pop AC, Koch M, Schleich B, Wartzack S (2018)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2018
Pages Range: 1709-1720
Event location: Dubrovnik
Abstract
This paper presents a novel design selection and generation mechanism for fast and efficient solution-finding based on the knowledge-based systems concept. Such a mechanism can be fully exploited in the early design phases (i.e. quotation phase), when the supplier has to propose both a technically feasible and pricewise attractive solution to the OEM's request. The benefits of the presented method are a massive time reduction from several weeks to less than one day as well as an improvement of the overall solutions quality as all possible technologies are evaluated parallel.
Authors with CRIS profile
Johann Tüchsen
Chair of Engineering Design
Benjamin Schleich
Chair of Engineering Design
Sandro Wartzack
Chair of Engineering Design
How to cite
APA:
Tüchsen, J., Pop, A.-C., Koch, M., Schleich, B., & Wartzack, S. (2018). Data Driven Design Selection and Generation - An Industrial Case Study on Electric Motors. In Proceedings of the DESIGN 2018 - 15th International Design Conference (pp. 1709-1720). Dubrovnik, HR.
MLA:
Tüchsen, Johann, et al. "Data Driven Design Selection and Generation - An Industrial Case Study on Electric Motors." Proceedings of the DESIGN 2018 - 15th International Design Conference, Dubrovnik 2018. 1709-1720.
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