Challenges in AI Projects for Machinery and Plant Engineering
In our AI projects with machinery and plant engineering customers, we encounter recurring challenges beyond data processing, such as data availability, integration, human involvement, operations, and business considerations. Addressing these challenges is crucial for progress in this domain, yet research support is lacking. We present these challenges, discuss our current solutions, and call on researchers at CAIN and beyond to develop better approaches for the future.
Authors
- Richard Nordsieck (ORCID: https://orcid.org/0000-0002-2043-3300)
- Jan-Philipp Steghöfer (ORCID: https://orcid.org/0000-0003-1694-0972)
- Manish Bhandari
Institutions
- Software (Germany) (DE)
Publication Details
- Published
- 2025-04-27
- DOI
- https://doi.org/10.1109/cain66642.2025.00023
- Primary Topic
- Scheduling and Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00