Preliminary forecast methodology for the defense technology and industrial base

C. N. Day, J. Adkins, M. Fredrick, H. Henderson, R. Beckett
{"title":"Preliminary forecast methodology for the defense technology and industrial base","authors":"C. N. Day, J. Adkins, M. Fredrick, H. Henderson, R. Beckett","doi":"10.1109/IEMC.1994.379946","DOIUrl":null,"url":null,"abstract":"This paper reports on the preliminary development of an improved defense technology and industrial base (DTIB) forecasting methodology. The approach examined several noted assessment and quality programs, began with previous industrial base assessment methods, and incorporated current quality perspectives. The methodology augments previous methods by improving the metrics of technology, integrated design, production processes, quality, and modern management and operations methods such as those of lean manufacturing. The resultant DTIB representation was reviewed by government and industry experts. Conclusions are presented. A preliminary set of measurement criteria was developed and sources for the data were established. A larger measurement set is needed to test the validity of the characteristics to represent the DTIB in the forecasting task.<<ETX>>","PeriodicalId":200747,"journal":{"name":"Proceedings of 1994 IEEE International Engineering Management Conference - IEMC '94","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Engineering Management Conference - IEMC '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMC.1994.379946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper reports on the preliminary development of an improved defense technology and industrial base (DTIB) forecasting methodology. The approach examined several noted assessment and quality programs, began with previous industrial base assessment methods, and incorporated current quality perspectives. The methodology augments previous methods by improving the metrics of technology, integrated design, production processes, quality, and modern management and operations methods such as those of lean manufacturing. The resultant DTIB representation was reviewed by government and industry experts. Conclusions are presented. A preliminary set of measurement criteria was developed and sources for the data were established. A larger measurement set is needed to test the validity of the characteristics to represent the DTIB in the forecasting task.<>
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
国防科技工业基础初步预测方法
本文报道了一种改进的国防技术与工业基础预测方法的初步发展。该方法检查了几个著名的评估和质量计划,从以前的工业基础评估方法开始,并结合了当前的质量观点。该方法通过改进技术、集成设计、生产过程、质量以及现代管理和操作方法(如精益制造)的度量来增强先前的方法。最终的DTIB代表由政府和行业专家进行了审查。最后提出结论。制定了一套初步的测量标准,并确定了数据的来源。在预测任务中,需要更大的测量集来检验表征DTIB的特征的有效性。
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
Application of technology transfer to SME Transferring software engineering methods to VLSI-design: a statistical approach Saaty's AHP with inner dependent hierarchy and the choice of key industries An analytic approach to the analysis and selection of transport services Case study of unforeseen negative impacts of a TQM program
×
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