The effectiveness of defect-to-yield correlations [semiconductor manufacture]

K. Zinke, R. Spencer, D. Freeman
{"title":"The effectiveness of defect-to-yield correlations [semiconductor manufacture]","authors":"K. Zinke, R. Spencer, D. Freeman","doi":"10.1109/ASMC.1996.558096","DOIUrl":null,"url":null,"abstract":"Most semiconductor manufacturers have a yield enhancement group to continually monitor and evaluate probe and E-test data. In addition to assuring that devices meet parametric specifications, the yield enhancement group will also focus on understanding the relationship between post fab probe data and in-line wafer processing data. In-line data is information such as equipment ID, operator, wafer sequence, lot sequence, thickness/CD, equipment clean frequency or any other measurable and recordable event that occurs during the manufacturing process. When clear correlations are found between the post fab probe and in-line data, redirection of product flow or some type of corrective action needs to be considered. This method of continuous process control driven by electrical correlation to in-line manufacturing events drives up the yield and improves a companies time to market and profit metrics.","PeriodicalId":325204,"journal":{"name":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/SEMI 1996 Advanced Semiconductor Manufacturing Conference and Workshop. Theme-Innovative Approaches to Growth in the Semiconductor Industry. ASMC 96 Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASMC.1996.558096","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Most semiconductor manufacturers have a yield enhancement group to continually monitor and evaluate probe and E-test data. In addition to assuring that devices meet parametric specifications, the yield enhancement group will also focus on understanding the relationship between post fab probe data and in-line wafer processing data. In-line data is information such as equipment ID, operator, wafer sequence, lot sequence, thickness/CD, equipment clean frequency or any other measurable and recordable event that occurs during the manufacturing process. When clear correlations are found between the post fab probe and in-line data, redirection of product flow or some type of corrective action needs to be considered. This method of continuous process control driven by electrical correlation to in-line manufacturing events drives up the yield and improves a companies time to market and profit metrics.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
缺陷-成品率相关性的有效性[半导体制造]
大多数半导体制造商都有一个良率增强小组来持续监测和评估探针和E-test数据。除了确保器件符合参数规格外,良率提升小组还将专注于了解晶圆厂后探头数据与在线晶圆加工数据之间的关系。在线数据是诸如设备ID,操作员,晶圆顺序,批号顺序,厚度/CD,设备清洁频率或任何其他在生产过程中发生的可测量和可记录的事件的信息。当发现晶圆后探头和在线数据之间存在明显的相关性时,需要考虑产品流的重定向或某种类型的纠正措施。这种由在线制造事件的电气相关驱动的连续过程控制方法提高了产量,并改善了公司的上市时间和利润指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Production use of an integrated automatic defect classification (ADC) system operating in a laser confocal/white light imaging defect review station Strategic alliances for equipment reliability improvement in a dynamic startup environment 16 M DRAM manufacturing cooperation IBM/SIEMENS in Corbeil Essonnes in France Semiconductor factory automation: designing for phased automation Yield risk cards at D2
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1