G2TT
来源类型Report
规范类型报告
DOIhttps://doi.org/10.7249/RRA542-2
来源IDRR-A542-2
Contractor Risk and Performance Indicators: Prototype Functional Specification and Developer Document
James Ryseff; David Zhang; Philip S. Anton; William Shelton; Samantha Cohen
发表日期2022-05-16
出版年2022
语种英语
结论 Contractor Risk and Performance Indicators: Prototype Functional Specification and Developer Document | RAND
摘要

A recurring challenge to successful Department of the Air Force (DAF) acquisition program execution is poor contractor performance. Early indication of potential contractor performance risks and execution issues is critical for proactive acquisition management. When contractors are in danger of not meeting contractual performance goals, DAF acquisition management 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. In response, the authors developed a new way to apply data science to a variety of government and external data sources to assess the relative contractor performance risks and early indicators of performance issues in DAF acquisition contracts and programs. This method seeks to produce risk and performance indicators earlier than do current information sources and metrics.

,

In this report, the authors outline the functional software specification and basic design of that prototype, its architecture, and the core software components within it. The authors focus on the technical details of the prototype, along with summary context on the basic function of the approach.

目录
  • Chapter One

    Overview

  • Chapter Two

    The Prototype Architecture

  • Chapter Three

    Data Ingestion and Processing

  • Chapter Four

    Future Steps

主题Big Data ; Business Process Improvement ; Data Analysis ; Military Acquisition and Procurement ; Supply Chain Management ; United States Air Force ; United States Department of Defense ; Workforce Management
URLhttps://www.rand.org/pubs/research_reports/RRA542-2.html
来源智库RAND Corporation (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/524797
推荐引用方式
GB/T 7714
James Ryseff,David Zhang,Philip S. Anton,et al. Contractor Risk and Performance Indicators: Prototype Functional Specification and Developer Document. 2022.
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