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来源类型 | Report |
规范类型 | 报告 |
DOI | https://doi.org/10.7249/RR-A433-1 |
来源ID | RR-A433-1 |
Relative Contractor Risks: A Data-Analytic Approach to Early Identification | |
Philip S. Anton; William Shelton; James Ryseff; Stephen B. Joplin; Megan McKernan; Chad J. R. Ohlandt; Samantha Cohen | |
发表日期 | 2022-02-04 |
出版年 | 2022 |
语种 | 英语 |
结论 | Data analytic tools can help acquisition managers identify potential contractor risks indicators early on
Some challenges remain to operationalize this capability
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摘要 | Risk is a key component in any business transaction, especially transactions worth millions of dollars or more. As the Department of the Air Force acquisition professionals are aware, there are multiple kinds of risks in developing and acquiring new systems. One recurring challenge to successful acquisition program execution is poor contractor performance. When contractors are in danger of not meeting contractual performance goals, acquisition may not be fully aware of the shortfall until, for example, a schedule deadline is missed, government testing indicates poor performance, or costs exceed expectations. ,The authors developed and prototyped a new way to apply data analysis on a variety of government and commercial data sources to assess the relative contractor performance risks in Air Force acquisition contracts and programs. This method produces risk indicators earlier than do current information sources and metrics by analyzing workforce, costs, financial health, influence, supply chains, past performance, and other data to assess relative risk indicators. ,Such automated tools can help managers focus their limited resources on potential risks buried in large, diverse data and take mitigation actions based on program relevance and impact on desired risk levels. Identified outliers are indicators for acquisition professionals to apply their acumen, understanding of program priorities, and acceptable levels of risk to determine the relevancy and magnitude of the potential risks and what actions should be taken (if any) to mitigate them. |
目录 |
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主题 | Business Process Improvement ; Data Analysis ; Military Acquisition and Procurement ; Supply Chain Management ; United States Air Force ; United States Department of Defense |
URL | https://www.rand.org/pubs/research_reports/RRA433-1.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/524700 |
推荐引用方式 GB/T 7714 | Philip S. Anton,William Shelton,James Ryseff,et al. Relative Contractor Risks: A Data-Analytic Approach to Early Identification. 2022. |
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_RRA433-1.pdf(1756KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
x1652192317487.jpg.p(4KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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