Document Type

Article

Publication Date

5-2012

Publication Title

International Journal of Computer Integrated Manufacturing

Volume

26

Issue

10

Publisher

Taylor & Francis

Abstract

This paper presents an approach for the development of surrogate models predicting the assembly time of a system based on complexity metrics of the physical system architecture when detailed geometric information is unavailable. A convention for modelling physical architecture is presented, followed by a sample of 10 analysed systems used for training and three systems used for validation. These systems are evaluated on complexity metrics developed from graph theoretic measures. An example model is developed based on a series of regressions of trends observed within the sample data. This is validated against the systems that are not used to develop the model. The model developed uses average path length, part count and path length density to approximate assembly time within the standard deviation of the subjective variation possible in Boothroyd and Dewhurst design for assembly (DFA) analysis. While the specific example model developed is generalisable only to systems similar to those in the sample set, the capability to develop mappings between physical architecture and assembly time in early-stage design is demonstrated.

Comments

This manuscript has been published in the journal International Journal of Computer Integrated Manufacturing. Please find the published version here (note that a subscription is necessary to access this version):

http://www.tandfonline.com/doi/abs/10.1080/0951192X.2012.684706

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