Semantic Scholar
Open Access
2022
14 sitasi
A Survey on the Challenges Hindering the Application of Data Science, Digital Twins and Design Automation in Engineering Practice
S. Rädler
E. Rigger
Abstrak
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.
Penulis (2)
S
S. Rädler
E
E. Rigger
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2022
- Bahasa
- en
- Total Sitasi
- 14×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1017/pds.2022.172
- Akses
- Open Access ✓