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- W2015629663 abstract "This paper presents an automated tool for estimating assembly times of products based on a three step process: connectivity graph generation from assembly mate information, structural complexity metric analysis of the graph, and application of the complexity metric vector to predictive artificial neural network models. The tool has been evaluated against different training set cases, suggesting that partially defined assembly models and training product variety are critical characteristics. Moreover, the tool is shown to be robust and insensitive to different modeling engineers. The tool has been implemented in a commercial CAD system and shown to yield results of within ±25% of predicted values. Additional extensions and experiments are recommended to improve the tool." @default.
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- W2015629663 date "2014-01-22" @default.
- W2015629663 modified "2023-10-14" @default.
- W2015629663 title "Assembly Time Estimation: Assembly Mate Based Structural Complexity Metric Predictive Modeling" @default.
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- W2015629663 doi "https://doi.org/10.1115/1.4025808" @default.
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