Dynamic Cost Risk Assessment for Controlling the Cost of Naval Vessels

Abstract

Naval vessels, like most large-capital projects/programs, have a long history of cost growth and overruns. To get a handle on this problem, NAVSEA's Cost Engineering and Industrial Division, NAVSEA 05C, has introduced Probabilistic Cost Risk Analysis (PCRA) into the Department of Defense (DoD) Planning, Programmatic, Budgeting, and Execution System (PPBES). The quantification of cost in terms of Cumulative probability Distribution Functions (CDF) or "S-curves" provides a macroscopic view of project/program risk. Risk curves alone do not provide adequate visibility into the individual project risk drivers; therefore, they are insufficient for planning and managing Risk Reduction Activities (RRA). Complex projects typically involve a set of high-consequence, project-specific risks that require detailed analysis and for which risk response actions need to be developed and implemented. The analysis of specific risks and RRAs requires a microscopic view. We present a practical and mathematically sound approach using scenarios and Monte Carlo simulation within the framework of decision trees and risk curves. The approach is detailed using a realistic but simplified case of a project with three technical risks.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 24, 2009
Accession Number
ADA512312

Entities

People

  • Diana Angelis
  • Edouard Kujawski

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Business Administration
  • Contracts
  • Department Of Defense
  • Distribution Functions
  • Engineering
  • Governments
  • Monte Carlo Method
  • Naval Vessels
  • Organizational Structure
  • Probability
  • Probability Distribution Functions
  • Probability Distributions
  • Risk
  • Risk Analysis
  • Risk Management
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Aviation Safety Risk Assessment.
  • Computational Modeling and Simulation
  • Life Cycle Cost Analysis