A Survey on the Challenges Hindering the Application of Data Science, Digital Twins and Design Automation in Engineering Practice

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

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Simon R
Series: DESIGN
Institution: 1: V-Research GmbH, Austria; 2: TU Wien, Austria
Section: Artificial Intelligence and Data-Driven Design
Page(s): 1699-1708
DOI number: https://doi.org/10.1017/pds.2022.172
ISSN: 2732-527X (Online)

Abstract

Digital Engineering is an emerging trend and aims to support engineering design by integrating computational technologies like design automation, data science, digital twins, and product lifecycle management. To enable alignment of industrial practice with state of the art, an industrial survey is conducted to capture the status and identify obstacles that hinder implementation in the industry. The results show companies struggle with missing know-how and available experts. Future work should elaborate on methods that facilitate the integration of Digital Engineering in design practice.

Keywords: artificial intelligence (AI), design automation, digital design, computational design methods, product lifecycle management (PLM)