Output Analysis and Comparison of Deployment Models with Varying Fidelity

Abstract

This thesis explores the changes in insights that result from using different types of models to assess the capability of deploying the Stryker Brigade within specific timeline goals. The thesis uses as its primary base a study conducted in 2002 by USTRANSCOM to evaluate the ability of Stryker to meet stated deployment timeline goals. Specifically, the author compares the outputs from four different models as they change over three different deployment scenarios and 10 different routes. The study investigates the relationships among the outputs of spreadsheet models, spreadsheet models with elements of variability added, and low- and high-level discrete-event simulations. The study also explores the implications of applying newly proposed distributions describing the variability in aircraft cargo loads and en-route ground times. The results of the study suggest that the type of model used to assess a deployment has an effect on the insights derived from exploring scenarios. The study also suggests that the newly proposed ground time distributions have a significant effect on the military's ability to move cargo through an en-route system, and what factors have the greatest limiting effect on the ability of Stryker to meet its deployment timeline goals.

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Document Details

Document Type
Technical Report
Publication Date
Mar 28, 2005
Accession Number
ADA436933

Entities

People

  • Matthew M. Gill

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Analysis Of Variance
  • Basic Programming Language
  • Computational Science
  • Databases
  • Deployment
  • Information Science
  • Logistics
  • Military Science
  • Operating Systems
  • Regression Analysis
  • Reliability
  • Simulations
  • Spreadsheet Software
  • United States Transportation Command
  • Warfare

Fields of Study

  • Computer science

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Military Science