DoD Simulations: Improved Assessment Procedures Would Increase the Credibility of Results.

Abstract

Multibillion-dollar acquisition decisions for major weapons systems should in principle be based on the results of testing weapons under conditions that replicate actual combat. However, subjecting complex and expensive weapon systems to the necessary number of such tests is sometimes impractical or impossible. One alternative is to use computer models to simulate performance, but simulation results must be as representative of real-world outcomes as possible. The need for representativeness generates the major objective GAO addressed in this report: to determine, using three case studies, that it is possible to assess the credibility of simulation-generated data. A second objective was to identify the steps the Department of Defense (DOD) has taken to foster the credibility of its simulations. GAO posed three major questions: (1) What factors should be considered in a systematic attempt to assess the credibility of a simulation? (2) What are the results of assessing specific operational-effectiveness simulations of weapon systems with respect to these factors? (3) What efforts has the Department of Defense made to foster and reinforce simulation credibility?

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA191503

Entities

Organizations

  • United States Government Accountability Office

Tags

Communities of Interest

  • Electronic Warfare
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Attrition
  • Combat Areas
  • Computer Programming
  • Computer Programs
  • Computers
  • Contingency Operations (Military)
  • Electronic Countermeasures
  • Fixed Wing Aircraft
  • Mathematical Models
  • Military Applications
  • Operations Research
  • Surface To Air Missiles
  • System Software
  • Systems Engineering
  • Test And Evaluation
  • Test Facilities
  • Warfare

Readers

  • Defense Acquisition Program Management
  • Life Cycle Cost Analysis
  • Systems Analysis and Design