Assembly Time Estimation: Assembly Mate Based Structural Complexity Metric Predictive Modeling | Zendy

Joseph Eric Owensby | Zendy; Joshua D. Summers | Zendy

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Assembly Time Estimation: Assembly Mate Based Structural Complexity Metric Predictive Modeling

Author(s) -

Joseph Eric Owensby,

Joshua D. Summers

Publication year - 2013

Publication title -

journal of computing and information science in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.538

H-Index - 50

eISSN - 1944-7078

pISSN - 1530-9827

DOI - 10.1115/1.4025808

Subject(s) - metric (unit) , computer science , graph , artificial neural network , cad , set (abstract data type) , process (computing) , bond graph , structural complexity , data mining , machine learning , algorithm , engineering , artificial intelligence , theoretical computer science , engineering drawing , mathematics , operations management , combinatorics , programming language , operating system

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.

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