{"title":"实验设计集成电路制造中的离线质量控制","authors":"M. Phadke, R. N. Kackar, D. Speeney, M. Grieco","doi":"10.1117/12.940434","DOIUrl":null,"url":null,"abstract":"In this paper we describe the off-line quality control method and its application in optimizing the process for forming contact windows in 3.5-μm complementary metal-oxide semiconductor circuits. The offline quality control method is a systematic method of optimizing production processes and product designs. It is widely used in Japan to produce high-quality products at low cost. The key steps of off-line quality control are: (i) Identify important process factors that can be manipulated and their potential working levels; (ii) perform fractional factorial experiments on the process using orthogonal array designs; (iii) analyze the resulting data to determine the optimum operating levels of the factors (both the process mean and the process variance are considered in this analysis; (iv) conduct an additional experiment to verify that the new factor levels indeed improve the quality control.","PeriodicalId":447574,"journal":{"name":"The Bell System Technical Journal","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1983-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"166","resultStr":"{\"title\":\"Off-line quality control in integrated circuit fabrication using experimental design\",\"authors\":\"M. Phadke, R. N. Kackar, D. Speeney, M. Grieco\",\"doi\":\"10.1117/12.940434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we describe the off-line quality control method and its application in optimizing the process for forming contact windows in 3.5-μm complementary metal-oxide semiconductor circuits. The offline quality control method is a systematic method of optimizing production processes and product designs. It is widely used in Japan to produce high-quality products at low cost. The key steps of off-line quality control are: (i) Identify important process factors that can be manipulated and their potential working levels; (ii) perform fractional factorial experiments on the process using orthogonal array designs; (iii) analyze the resulting data to determine the optimum operating levels of the factors (both the process mean and the process variance are considered in this analysis; (iv) conduct an additional experiment to verify that the new factor levels indeed improve the quality control.\",\"PeriodicalId\":447574,\"journal\":{\"name\":\"The Bell System Technical Journal\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1983-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"166\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Bell System Technical Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.940434\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Bell System Technical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.940434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Off-line quality control in integrated circuit fabrication using experimental design
In this paper we describe the off-line quality control method and its application in optimizing the process for forming contact windows in 3.5-μm complementary metal-oxide semiconductor circuits. The offline quality control method is a systematic method of optimizing production processes and product designs. It is widely used in Japan to produce high-quality products at low cost. The key steps of off-line quality control are: (i) Identify important process factors that can be manipulated and their potential working levels; (ii) perform fractional factorial experiments on the process using orthogonal array designs; (iii) analyze the resulting data to determine the optimum operating levels of the factors (both the process mean and the process variance are considered in this analysis; (iv) conduct an additional experiment to verify that the new factor levels indeed improve the quality control.