DFA-based Synthesized Assembly Dataset for “Deep Unsupervised Learning-Based Supplier Selection and Ranking for Assembly Manufacturing”
Author(s)
Park, Suyoung
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Abstract
This dataset contains synthesized assembly data used in the study “Deep Unsupervised Learning-Based Supplier Selection and Ranking for Assembly Manufacturing.” It includes voxelized component geometry (.binvox), assembly connectivity information, and manufacturing capability metrics assigned for each case study. The dataset supports the development and evaluation of DU-ASM, an unsupervised framework for capability-aware supplier selection and ranking.
Sponsor
National Science Foundation Future Manufacturing Research Grant (Award # 2229260)
Date
2025
Extent
Resource Type
Dataset
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