Towards automated work plan generation for the manufacturing of metal components
Manufacturing planning is currently characterised by increased part-specific planning costs and manual, experience-based derivation of process chains. With the increasing geometric complexity of components, established planning activities are increasingly reaching their limits. This paper presents a framework for automated work plan generation, focusing on the growing complexity of assessing the intuitive manufacturability of parts. Due to the organisational challenges of current work planning, there is a need to further develop subjective and manual processes into analytically objective, automated, and data-supported solutions. Based on expert interviews conducted with 11 companies classified as small and medium-sized enterprises (SMEs), a systematic derivation of technological requirements for digital support is presented. A generative and voxel-based approach is introduced as a potential solution for digital support in work planning. This approach corresponds to the derived requirements and initially deals with the basic modelling of the system components.
Authors
- T. Bergs
- Gonsalves Grünert (ORCID: https://orcid.org/0000-0001-6753-5542)
- Maximilian Gey
- Janis Menke
- Philipp Niemietz
Institutions
- Fraunhofer Institute for Production Technology IPT (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1016/j.procs.2026.02.322
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00