How do Digital Engineering and included AI based assistance tools change the product development process and the involved engineers

DS 94: Proceedings of the Design Society: 22nd International Conference on Engineering Design (ICED19)

Year: 2019
Editor: Wartzack, Sandro; Schleich, Benjamin; Gon
Author: Bickel, Sebastian; Spruegel, Tobias C.; Schleich, Benjamin; Wartzack, Sandro
Series: ICED
Institution: Friedrich-Alexander-Universit
Section: Knowledge-based engineering
DOI number:
ISSN: 2220-4342


Current trends in product development are digital engineering, the increasing use of assistance tools based on artificial intelligence and in general shorter product lifecycles. These trends and new tools strongly rely on available data and will irreversibly change established product development processes. One example for such a new data driven tool is the plausibility check of linear finite element simulations with Convolutional Neural Networks (CNN). This tool is capable of determining whether new simulation results are plausible or non-plausible according to numeric input data. The digitalization and the increased use of data driven tools employing algorithms known from Artificial Intelligence also shifts the roles of many involved engineers. This paper describes and highlights this transition from current product development processes to a data driven / simulation driven product development process. Particularly, the shifts and changes of different roles and domains are illustrated and an example for changing roles in the design and simulation department is described. Furthermore, required adjustments in the design process are derived and compared to the current status.

Keywords: Digital Engineering, Machine learning, Data Driven Design, Organisation of product development, Artificial intelligence


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