A systematic optimization approach for assembly sequence planning using Taguchi method, DOE, and BPNN

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Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/34456

Title:	A systematic optimization approach for assembly sequence planning using Taguchi method, DOE, and BPNN
Authors:	徐永源 Yuan, Hsu Yung
Contributors:	機械工程學系 Mechanical Engineering
Keywords:	assembly sequence planning;assembly precedence diagrams;neural networks;design of experiment;Taguchi method
Date:	2010
Issue Date:	2014-06-27 02:50:51 (UTC+8)
Abstract:	Research in assembly planning can be categorised into three types of approach: graph-based, knowledge-based and artificial intelligence approaches. The main drawbacks of the above approaches are as follows: the first is time-consuming; in the second appro
Appears in Collections:	[Department of Mechanical Engineering] Journal Articles

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