Virtual Metrology Technique for Semiconductor Manufacturing

碩士 === 中原大學 === 機械工程研究所 === 94 === Abstract The semiconductor of our country regards manufacturing as the subject. Under global keen competition, strict process control already become the indispensable demand. It is most important factor of international competitiveness for Panel factory and Liquid...

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Main Authors: Tin-Wei Shen, 沈庭偉
Other Authors: yao-ren zhang
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/31435490116798171493
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spelling ndltd-TW-094CYCU54890152016-06-01T04:21:55Z http://ndltd.ncl.edu.tw/handle/31435490116798171493 Virtual Metrology Technique for Semiconductor Manufacturing 半導體製程虛擬量測技術之研究 Tin-Wei Shen 沈庭偉 碩士 中原大學 機械工程研究所 94 Abstract The semiconductor of our country regards manufacturing as the subject. Under global keen competition, strict process control already become the indispensable demand. It is most important factor of international competitiveness for Panel factory and Liquid Crystal Display(LCD) factory how does it want effective reducing production cost, increasing equipment efficiency, reducing process risk, increasing process yield. Present most of Panel factory and LCD factory use control technology for statistics process control technique to monitor important process parameters. However the result can’t be measure right away, this monitor maybe cause a large number of base plate loss if it happen process unusual. It will influence the production cost and yield seriously. Because of the flourishing development of information technology and internet network technology in recent years, produced the idea about e-Diagnostics and e-Maintenance. Pretext of internet network and information technology to achieve the goal of virtual metrology, diagnose-self and predict maintain. E-Diagnostics technology can diagnose and repair the equipment, shorten repair time and reduce service cost. Idea of virtual metrology is combine e-Diagnostics and advanced process control to achieve the goal of quality predict. The theory combines advanced process control technology and idea of virtual metrology to filter noise by wavelet theory, and using fuzzy neural networks predict trend and recipe influence. Pretext of predict metrology to improve the quality of process, promote equipment efficiency. Absolute error is under 25 and absolute error rate is under 1.5% in simulate data and absolute error is about 0.05 and absolute error rate is about 3.84% in actual data. yao-ren zhang 張耀仁 2006 學位論文 ; thesis 56 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 中原大學 === 機械工程研究所 === 94 === Abstract The semiconductor of our country regards manufacturing as the subject. Under global keen competition, strict process control already become the indispensable demand. It is most important factor of international competitiveness for Panel factory and Liquid Crystal Display(LCD) factory how does it want effective reducing production cost, increasing equipment efficiency, reducing process risk, increasing process yield. Present most of Panel factory and LCD factory use control technology for statistics process control technique to monitor important process parameters. However the result can’t be measure right away, this monitor maybe cause a large number of base plate loss if it happen process unusual. It will influence the production cost and yield seriously. Because of the flourishing development of information technology and internet network technology in recent years, produced the idea about e-Diagnostics and e-Maintenance. Pretext of internet network and information technology to achieve the goal of virtual metrology, diagnose-self and predict maintain. E-Diagnostics technology can diagnose and repair the equipment, shorten repair time and reduce service cost. Idea of virtual metrology is combine e-Diagnostics and advanced process control to achieve the goal of quality predict. The theory combines advanced process control technology and idea of virtual metrology to filter noise by wavelet theory, and using fuzzy neural networks predict trend and recipe influence. Pretext of predict metrology to improve the quality of process, promote equipment efficiency. Absolute error is under 25 and absolute error rate is under 1.5% in simulate data and absolute error is about 0.05 and absolute error rate is about 3.84% in actual data.
author2 yao-ren zhang
author_facet yao-ren zhang
Tin-Wei Shen
沈庭偉
author Tin-Wei Shen
沈庭偉
spellingShingle Tin-Wei Shen
沈庭偉
Virtual Metrology Technique for Semiconductor Manufacturing
author_sort Tin-Wei Shen
title Virtual Metrology Technique for Semiconductor Manufacturing
title_short Virtual Metrology Technique for Semiconductor Manufacturing
title_full Virtual Metrology Technique for Semiconductor Manufacturing
title_fullStr Virtual Metrology Technique for Semiconductor Manufacturing
title_full_unstemmed Virtual Metrology Technique for Semiconductor Manufacturing
title_sort virtual metrology technique for semiconductor manufacturing
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/31435490116798171493
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