Quantitative Risks

Abstract

The goals of this project are to develop, verify, and validate methods, procedures, and tools that provide objective, quantified indicators of acquisition program cost, schedule, and performance risk. It builds on prior empirical analyses of system development indicators. The goal MPTs should provide an integrated approach toward risk exposure analysis using risk leading indicators and risk estimating relationships. The primary products are (1) a set risk leading indicators calculated from standard program documents, and (2) methods to calibrate and baseline the risk leading indicators and program outcomes. Secondary products are (3) Request for Proposal (RFP) language to improve risk exposure during Engineering and Manufacturing Development (EMD), and (4) recommendations for collecting and sharing data to calibrate/baseline risk estimating relationships across programs. Significant developments of this phase are: specifying risk leading indicators related to root causes of adverse acquisition outcome and detectable in program documentation, producing a structure and method to provide integrated risk exposure analysis for acquisition and contract data, and specifying a process to calibrate the expected impacts. Development plans are to demonstrating, testing and evaluating the risk leading indicators and risk exposure calibration methods to assess practicality, feasibility, relevance and significance via application to acquisition programs.

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Document Details

Document Type
Technical Report
Publication Date
Feb 24, 2015
Accession Number
ADA619788

Entities

People

  • Gary Witus

Organizations

  • Wayne State University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Cyber
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Air Force
  • Calibration
  • Contracts
  • Department Of Defense
  • Engineering
  • Engineers
  • Failure Mode And Effect Analysis
  • Manufacturing
  • Measurement
  • Procurement
  • Risk Analysis
  • Standards
  • Supply Chain
  • Systems Engineering
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Defense Acquisition Program Management