利用生产数据提高工厂产能

J. Konopka, W. Trybula
{"title":"利用生产数据提高工厂产能","authors":"J. Konopka, W. Trybula","doi":"10.1109/IEMT.1995.526176","DOIUrl":null,"url":null,"abstract":"The amount of data that is captured by any semiconductor manufacturing shop floor control system is massive. Unfortunately, much of the production data that is collected is rarely used. One way to determine a factory's capacity is to determine the capacity of the factory's bottleneck tools. If the capacity of the bottleneck tools can be increased, then the factory's capacity will also increase. This paper demonstrates how production and equipment state data that is usually collected can be used to determine where factory bottleneck tools are. Further investigation of this data with a productivity analysis framework called CUBES will identify and prioritize productivity inefficiencies with their accompanying tool capacity increases. This analysis, when implemented across the manufacturing line, should increase factory capacity.","PeriodicalId":123707,"journal":{"name":"Seventeenth IEEE/CPMT International Electronics Manufacturing Technology Symposium. 'Manufacturing Technologies - Present and Future'","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Utilizing production data to increase factory capacity\",\"authors\":\"J. Konopka, W. Trybula\",\"doi\":\"10.1109/IEMT.1995.526176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The amount of data that is captured by any semiconductor manufacturing shop floor control system is massive. Unfortunately, much of the production data that is collected is rarely used. One way to determine a factory's capacity is to determine the capacity of the factory's bottleneck tools. If the capacity of the bottleneck tools can be increased, then the factory's capacity will also increase. This paper demonstrates how production and equipment state data that is usually collected can be used to determine where factory bottleneck tools are. Further investigation of this data with a productivity analysis framework called CUBES will identify and prioritize productivity inefficiencies with their accompanying tool capacity increases. This analysis, when implemented across the manufacturing line, should increase factory capacity.\",\"PeriodicalId\":123707,\"journal\":{\"name\":\"Seventeenth IEEE/CPMT International Electronics Manufacturing Technology Symposium. 'Manufacturing Technologies - Present and Future'\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventeenth IEEE/CPMT International Electronics Manufacturing Technology Symposium. 'Manufacturing Technologies - Present and Future'\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMT.1995.526176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventeenth IEEE/CPMT International Electronics Manufacturing Technology Symposium. 'Manufacturing Technologies - Present and Future'","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMT.1995.526176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

任何半导体制造车间控制系统捕获的数据量都是巨大的。不幸的是,收集到的大部分生产数据很少被使用。确定工厂能力的一种方法是确定工厂瓶颈工具的能力。如果可以增加瓶颈工具的产能,那么工厂的产能也会增加。本文演示了如何使用通常收集的生产和设备状态数据来确定工厂瓶颈工具的位置。使用名为CUBES的生产力分析框架对这些数据进行进一步调查,将识别并优先考虑生产率低下以及随之而来的工具容量增加。这种分析在整个生产线上实施时,应该会增加工厂的产能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilizing production data to increase factory capacity
The amount of data that is captured by any semiconductor manufacturing shop floor control system is massive. Unfortunately, much of the production data that is collected is rarely used. One way to determine a factory's capacity is to determine the capacity of the factory's bottleneck tools. If the capacity of the bottleneck tools can be increased, then the factory's capacity will also increase. This paper demonstrates how production and equipment state data that is usually collected can be used to determine where factory bottleneck tools are. Further investigation of this data with a productivity analysis framework called CUBES will identify and prioritize productivity inefficiencies with their accompanying tool capacity increases. This analysis, when implemented across the manufacturing line, should increase factory capacity.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信