{"title":"大数据应用于半导体制造的优势","authors":"Gabe Villareal, James Na, Joe Lee, T. Ho","doi":"10.1109/ASMC.2018.8373166","DOIUrl":null,"url":null,"abstract":"In semiconductor manufacturing, advanced analytics are widely practiced for root-cause analysis and optimization of processes. Big Data promises to provide manufacturers a more powerful platform to get quicker and more insightful results over the traditional RDBMS systems, but most manufacturers have not made the move to this new technology. This paper examines three separate studies by tier-1 semiconductor manufacturers on their Big Data experience. Key advantages of this emerging technology will be highlighted to illustrate how Big Data can help to increase efficiency and improve performance.","PeriodicalId":349004,"journal":{"name":"2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Advantages of using big data in semiconductor manufacturing\",\"authors\":\"Gabe Villareal, James Na, Joe Lee, T. Ho\",\"doi\":\"10.1109/ASMC.2018.8373166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In semiconductor manufacturing, advanced analytics are widely practiced for root-cause analysis and optimization of processes. Big Data promises to provide manufacturers a more powerful platform to get quicker and more insightful results over the traditional RDBMS systems, but most manufacturers have not made the move to this new technology. This paper examines three separate studies by tier-1 semiconductor manufacturers on their Big Data experience. Key advantages of this emerging technology will be highlighted to illustrate how Big Data can help to increase efficiency and improve performance.\",\"PeriodicalId\":349004,\"journal\":{\"name\":\"2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASMC.2018.8373166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASMC.2018.8373166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advantages of using big data in semiconductor manufacturing
In semiconductor manufacturing, advanced analytics are widely practiced for root-cause analysis and optimization of processes. Big Data promises to provide manufacturers a more powerful platform to get quicker and more insightful results over the traditional RDBMS systems, but most manufacturers have not made the move to this new technology. This paper examines three separate studies by tier-1 semiconductor manufacturers on their Big Data experience. Key advantages of this emerging technology will be highlighted to illustrate how Big Data can help to increase efficiency and improve performance.