{"title":"数字化转型对智能制造的影响","authors":"John Behnke","doi":"10.1109/issm51728.2020.9377506","DOIUrl":null,"url":null,"abstract":"The Smart Manufacturing revolution is underway and already driving changes throughout the Semi industry and world. Early adopters are seeing double digit improvements in multiple KPIs. The establishment of a comprehensive Digital Twin of a factory is key to enabling many of these Smart solutions including Factory Scheduling, which is one of the highest ROI Smart initiatives. However, creating a Digital Twin requires the aggregation of many types of data from many discrete data sources and systems.","PeriodicalId":270309,"journal":{"name":"2020 International Symposium on Semiconductor Manufacturing (ISSM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Digital Transformation's Impact on Smart Manufacturing\",\"authors\":\"John Behnke\",\"doi\":\"10.1109/issm51728.2020.9377506\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Smart Manufacturing revolution is underway and already driving changes throughout the Semi industry and world. Early adopters are seeing double digit improvements in multiple KPIs. The establishment of a comprehensive Digital Twin of a factory is key to enabling many of these Smart solutions including Factory Scheduling, which is one of the highest ROI Smart initiatives. However, creating a Digital Twin requires the aggregation of many types of data from many discrete data sources and systems.\",\"PeriodicalId\":270309,\"journal\":{\"name\":\"2020 International Symposium on Semiconductor Manufacturing (ISSM)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Symposium on Semiconductor Manufacturing (ISSM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/issm51728.2020.9377506\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Symposium on Semiconductor Manufacturing (ISSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/issm51728.2020.9377506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Digital Transformation's Impact on Smart Manufacturing
The Smart Manufacturing revolution is underway and already driving changes throughout the Semi industry and world. Early adopters are seeing double digit improvements in multiple KPIs. The establishment of a comprehensive Digital Twin of a factory is key to enabling many of these Smart solutions including Factory Scheduling, which is one of the highest ROI Smart initiatives. However, creating a Digital Twin requires the aggregation of many types of data from many discrete data sources and systems.
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