G2TT
来源类型Research Reports
规范类型报告
DOIhttps://doi.org/10.7249/RR1723
ISBN9780833096654
来源IDRR-1723-AF
Quantifying Cost and Schedule Uncertainty for Major Defense Acquisition Programs (MDAPs)
Thomas Light; Robert S. Leonard; Julia Pollak; Meagan L. Smith; Akilah Wallace
发表日期2017
出版年2017
页码92
语种英语
结论

The Degree of Unexplained Variation Allows for Only a Range of Cost and Schedule Growth Prediction

  • It is not possible to accurately estimate an MDAP's level of future cost growth or schedule slip, because there is simply too much unexplained variation in program cost and schedule outcomes.
  • This approach can provide decisionmakers with useful information, however, on the range of uncertainty in MDAP outcomes that they can expect.
  • Findings from this methodology can help inform acquisition policy and direct senior leadership attention to those programs that pose the greatest risk of poor outcomes.
摘要
  • The Air Force should carefully manage factors shown to contribute to cost and schedule growth as it shapes new programs, develops acquisition strategies, and implements new policies.
  • As there is a considerable amount of cost and schedule growth risk facing all programs regardless of their characteristics, policymakers should view MS B estimates with some skepticism. The acquisition community should continue to develop capabilities to utilize historical program cost and schedule outcomes to benchmark and evaluate estimates put forward at MS B.
主题Military Acquisition and Procurement ; Statistical Analysis Methodology ; United States Air Force
URLhttps://www.rand.org/pubs/research_reports/RR1723.html
来源智库RAND Corporation (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/108533
推荐引用方式
GB/T 7714
Thomas Light,Robert S. Leonard,Julia Pollak,et al. Quantifying Cost and Schedule Uncertainty for Major Defense Acquisition Programs (MDAPs). 2017.
条目包含的文件
文件名称/大小 资源类型 版本类型 开放类型 使用许可
x1500296975959.jpg(5KB)智库出版物 限制开放CC BY-NC-SA浏览
RAND_RR1723.pdf(451KB)智库出版物 限制开放CC BY-NC-SA浏览
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Thomas Light]的文章
[Robert S. Leonard]的文章
[Julia Pollak]的文章
百度学术
百度学术中相似的文章
[Thomas Light]的文章
[Robert S. Leonard]的文章
[Julia Pollak]的文章
必应学术
必应学术中相似的文章
[Thomas Light]的文章
[Robert S. Leonard]的文章
[Julia Pollak]的文章
相关权益政策
暂无数据
收藏/分享
文件名: x1500296975959.jpg
格式: JPEG
文件名: RAND_RR1723.pdf
格式: Adobe PDF
此文件暂不支持浏览

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。