{"title":"管理产量趋势模型的关键区域和缺陷数据","authors":"S. Barberan, F. Duvivier","doi":"10.1109/DFTVS.1998.732147","DOIUrl":null,"url":null,"abstract":"This paper reports a yield model applied to a large set of defectivity data measured on a 0.35 micron process in ST Crolles plant and critical areas extracted by survey sampling. It takes into account all defect densities measured at the main process steps and determines their respective yield loss. The robustness of the model was tested week by week during three months of production for two high volume devices. The model was then applied wafer by wafer on a new process version.","PeriodicalId":245879,"journal":{"name":"Proceedings 1998 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (Cat. No.98EX223)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Management of critical areas and defectivity data for yield trend modeling\",\"authors\":\"S. Barberan, F. Duvivier\",\"doi\":\"10.1109/DFTVS.1998.732147\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports a yield model applied to a large set of defectivity data measured on a 0.35 micron process in ST Crolles plant and critical areas extracted by survey sampling. It takes into account all defect densities measured at the main process steps and determines their respective yield loss. The robustness of the model was tested week by week during three months of production for two high volume devices. The model was then applied wafer by wafer on a new process version.\",\"PeriodicalId\":245879,\"journal\":{\"name\":\"Proceedings 1998 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (Cat. No.98EX223)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1998 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (Cat. No.98EX223)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DFTVS.1998.732147\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1998 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (Cat. No.98EX223)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DFTVS.1998.732147","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Management of critical areas and defectivity data for yield trend modeling
This paper reports a yield model applied to a large set of defectivity data measured on a 0.35 micron process in ST Crolles plant and critical areas extracted by survey sampling. It takes into account all defect densities measured at the main process steps and determines their respective yield loss. The robustness of the model was tested week by week during three months of production for two high volume devices. The model was then applied wafer by wafer on a new process version.