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.
Menke et al. (Thu,) studied this question.