Early Predictive Indicators of Contractor Performance: A Data Analytic Approach

Abstract

A recurring challenge to successful acquisition program execution is poor contractor performance. The DeputyAssistant Secretary for Acquisition Integration, Office of the Assistant Secretary of the Air Force for Acquisition,Technology, and Logistics (SAF/AQX) asked RAND Project AIR FORCE to develop and prototype data-analyticmethods on a variety of disparate and disjointed government and external data sources to identify potentialexecution performance and relative contractor performance risks earlier than would be typically reportedvia traditional methods. In this report, the authors discuss initial insights and approaches in exploring andprototyping these methods. Subsequent work and further development are ongoing.

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Document Details

Document Type
Technical Report
Publication Date
May 13, 2022
Accession Number
AD1168705

Entities

People

  • Alejandro Camargo
  • David Kravitz
  • Grant E Johnson
  • James Ryseff
  • Megan Mckernan
  • Philip Anton
  • Samantha S Cohen
  • Stephen Joplin
  • William Shelton

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Business Intelligence
  • Combat Readiness
  • Contractors
  • Contracts
  • Curve Fitting
  • Defense Systems
  • Delphi Method
  • Department Of Defense
  • Governments
  • Indicators
  • Logistics
  • Prototypes
  • Robotics
  • Supply Chain
  • United States

Readers

  • Computational Modeling and Simulation
  • Defense Acquisition Program Management