Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/5297
Title: Optimized fuzzy-neuro system for scheduling wafer fabrication
Authors: Chen, Toly
Keywords: Optimized fuzzy-neuro system
Scheduling
Wafer fabrication
Issue Date: Aug-2009
Publisher: CSIR
Abstract: Optimized fuzzy-neuro system is proposed to improve performance of scheduling jobs in a wafer fabrication factory(WFF). Fluctuation smoothing rules are normalized. Remaining cycle time of a job is accurately estimated by applying self-organization map with fuzzy back propagation network (SOM-FBPN). Division operator is applied instead of traditional subtraction operator to enhance responsiveness of fuzzy rule. Production simulation using proposed methodology outperformed existing approaches in reducing average cycle time and cycle time standard deviation.
Description: 680-685
URI: http://hdl.handle.net/123456789/5297
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.68(08) [August 2009]

Files in This Item:
File Description SizeFormat 
JSIR 68(8) 680-685.pdf76.33 kBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.