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来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RR1723 |
来源ID | RR-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 | 2017-07-17 |
出版年 | 2017 |
语种 | 英语 |
结论 | The Degree of Unexplained Variation Allows for Only a Range of Cost and Schedule Growth Prediction
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摘要 | To help the Air Force better anticipate cost and schedule challenges and manage programs throughout their life cycles, this study developed a methodology that can be used to evaluate the likelihood of cost growth and schedule slip for major defense acquisition projects (MDAPs) based on program characteristics observable at milestone (MS) B. RAND Project AIR FORCE (PAF) has developed and maintains a comprehensive database of program cost and schedule information obtained by analyzing and summarizing the contents of Selected Acquisition Reports (SARs) from the inception of each program through the latest out-of-cycle and annual SARs submitted as part of each year's President's Budget. From this database, the authors calculate cost and schedule factors that serve as the outcome metrics for assessing MDAP performance from MS B to the final or FY14 President's Budget SAR. PAF's ongoing SAR analyses have led to the creation of models that can be used to assess at program inception the risk of future cost growth and schedule slip. This document describes the technical approach and findings of this work. It should be of interest to analysts concerned with MDAP cost and schedule growth issues. |
目录 |
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主题 | Military Acquisition and Procurement ; Statistical Analysis Methodology ; United States Air Force |
URL | https://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/523337 |
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 | ||
RAND_RR1723.pdf(441KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
x1500296975959.jpg.p(2KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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