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  4. Towards automated work plan generation for the manufacturing of metal components
 
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2026
Journal Article
Title

Towards automated work plan generation for the manufacturing of metal components

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.
Author(s)
Menke, Janis
Rheinisch-Westfälische Technische Hochschule Aachen
Gey, Maximilian
Rheinisch-Westfälische Technische Hochschule Aachen
Grünert, Gonsalves
Rheinisch-Westfälische Technische Hochschule Aachen
Niemietz, Philipp
Rheinisch-Westfälische Technische Hochschule Aachen
Bergs, Thomas  
Fraunhofer-Institut für Produktionstechnologie IPT  
Journal
Procedia computer science  
Conference
International Conference on Industry of the Future and Smart Manufacturing 2025  
Open Access
File(s)
Download (1.55 MB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.1016/j.procs.2026.02.322
10.24406/publica-8851
Additional link
Full text
Language
English
Fraunhofer-Institut für Produktionstechnologie IPT  
Keyword(s)
  • Automatic work planning

  • Modelling requirements

  • Organisational

  • technological challenges

  • Work planning process

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