標題: Simultaneous optimisation of the broadband tap coupler optical performance based on neural networks and exponential desirability functions
作者: Hsu, CM
Su, CT
Liao, D
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: parameter design;multi-response problem;neural network;exponential desirability function;single-window broadband tap coupler
公開日期: 1-Jun-2004
摘要: This study presents an integrated procedure using neural networks and exponential desirability functions to resolve multi-response parameter design problems. The proposed procedure is illustrated through optimising the parameter settings in the fused bi-conic taper process to improve the performance and reliability of the 1% (1/99) single-window broadband tap coupler. The proposed solution procedure was implemented on a Taiwanese manufacturer of fibre optic passive components and the implementation results demonstrated its practicability and effectiveness. A pilot run of the fused process revealed that the average defect rate was reduced to just 2.5%, from a previous level of more than 35%. Annual savings from implementing the proposed procedure are expected to exceed 0.5-1.0 million US dollars. This investigation has been extensively and successfully applied to develop optimal fuse parameters for other coupling ratio tap couplers.
URI: http://hdl.handle.net/11536/26725
ISSN: 0268-3768
期刊: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume: 23
Issue: 11-12
起始頁: 896
結束頁: 902
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