An Efficient Method for Automated Machining Sequence Planning Using an Approximation Algorithm

Langula, S.; Erler, M.; Brosius, A.

doi:10.1007/978-3-031-18318-8_72

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Data-based Solution Approach1

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2023

2024

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Cited by 2 publications

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“…A promising approach addresses the problem by determining manufacturing costs comprehensively on the basis of data. This includes both the CAD data of the component geometry and the parameters of the machines, tools and materials (Langula, Erler and Brosius, 2023;Erler, Koch and Brosius 2023;Erler, 2018). By using discrete data models, production-related machining features are recognised and the associated planning data calculated.…”

Section: Data-based Solution Approachmentioning

confidence: 99%

Data-driven support for CAD parts modelling based on automated estimated production planning – approach and user research

Erler,

Langula,

Wölfel

et al. 2024

Proc. Des. Soc.

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We present a data-driven approach to support decision-making in CAD modelling and to improve design for manufacturing. Based on automated estimated production planning, information is provided on possible design actions and their impact. A study was conducted on perspectives on and visualizations in CAD modelling. Requirements for a user interface of the described support system were identified. The results serve as basis for further research and development on the interaction of engineering designers with data-driven decision-making support in CAD modelling.

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Section: Data-based Solution Approachmentioning

confidence: 99%