Digital Transformation's Impact on Smart Manufacturing

John Behnke
{"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}
引用次数: 2

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.
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
数字化转型对智能制造的影响
智能制造革命正在进行中,并已经推动了整个半导体行业和世界的变革。早期采用者在多个kpi方面看到了两位数的改进。建立一个全面的工厂数字孪生是实现许多智能解决方案的关键,包括工厂调度,这是最高投资回报率的智能计划之一。然而,创建数字孪生需要聚合来自许多离散数据源和系统的许多类型的数据。
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
Process Optimization of Trench Field Plate Power MOSFETs with Sequential Phosphorus-Doped Silicon Predicting and considering properties of general polymers using incomplete dataset Digital Transformation's Impact on Smart Manufacturing Etching characteristics of PECVD-prepared SiN films with CF4/D2 and CF4/H2 plasmas at different temperatures Using Quartz Crystal Microbalance to Provide Real-Time Process Monitoring
×
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