Document Type

Article

Publication Date

1-2014

Publication Title

Journal of Computing and Information Science in Engineering

Volume

14

Issue

1

Publisher

American Society of Mechanical Engineers

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.

Comments

This manuscript has been published in the Journal of Computing and Information Science in Engineering. Please find the published version here (note that a subscription is necessary to access this version):

http://computingengineering.asmedigitalcollection.asme.org/article.aspx?articleid=1763546

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