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October 13, 2025Open Access

Bridging Engineering and AI Planning through Model-Based Knowledge Transformation for the Validation of Automated Production System Variants

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Model-driven method enhances engineering models with planning semantics, suggesting improved validation of system variants.

The proposed method generates planning artifacts, improving validation for automated production system variants.
A case study on aircraft assembly illustrates the generation of consistent planning artifacts from existing models.
The method integrates symbolic planning semantics into SysML-based models, ensuring reliable system performance evaluations.
Enhancing engineering models with planning semantics allows efficient assessment of resource constraints and task fulfillment.

Nabizada et al. (2025) studied this question.

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