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Research Papers

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

[+] Author and Article Information
Joseph E. Owensby

Mechanical Engineering,
Clemson University,
250 Fluor Daniel Building,
Clemson, SC 29634-0921

Joshua D. Summers

Professor
Mechanical Engineering,
Clemson University,
250 Fluor Daniel Building,
Clemson, SC 29634-0921
e-mail: jsummer@clemson.edu

http://www.solidworks.com/ (accessed September 17, 2012)

http://gicl.cs.drexel.edu/wiki/Main_Page (accessed September 17, 2012)

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINNERING. Manuscript received September 24, 2012; final manuscript received October 12, 2013; published online January 22, 2014. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 14(1), 011004 (Jan 22, 2014) (12 pages) Paper No: JCISE-12-1164; doi: 10.1115/1.4025808 History: Received September 24, 2012; Revised October 12, 2013

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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Figures

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Fig. 1

Connectivity Complexity DFA development flow chart

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Fig. 2

SW mate extraction add-in and information processing

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Fig. 3

Part A, Part B, and Part C, mated or constrained in a variety of ways

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Fig. 4

Pseudo-code for extracting mate information

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Fig. 5

SolidWorks feature manager design tree

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Fig. 6

Exploded view of OEM wide flag assembly

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Fig. 7

Example probability density plot

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Fig. 8

Exploded view of solar yard light reference assembly

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Fig. 9

Solar yard light assembly model provided to students with no mates

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