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.

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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
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article

Towards automated work plan generation for the manufacturing of metal components

T. Bergs, Gonsalves Grünert, Maximilian Gey, Janis Menke et al.
Procedia Computer Science
Manufacturing Process and Optimization
article

Towards automated work plan generation for the manufacturing of metal components

T. Bergs, Gonsalves Grünert, Maximilian Gey, Janis Menke, Philipp Niemietz
article en

Abstract

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.

Procedia Computer ScienceVol. 277
Fraunhofer Institute for Production Technology IPT (DE), RWTH Aachen University (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Manufacturing Process and Optimization
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