A User Definable SLAM Airfield Model Designed for Experimentation and Analysis. Volume I

Abstract

This research effort was undertaken to investigate a methodology for determining the most critical elements on a fighter-bomber airbase with respect to sorties generated over a three-day period. The methodology is founded on a user definable computer simulation model written in SLAM (FORTRAN based) and supported by several FORTRAN routines. The remainder entails the use of factorial experimental designs for examining airfield element criticality. The airfield elements are the experimental factors. They are set to user specified levels according to the experimental design. This model produces a single response variable--sorties generated over a three-day period. Results are analyzed with common statistical techniques (Method of Contrasts, ANOVA, Duncan's Multiple range Test). Special attention was placed on documentation of the model to insure ease of implementation by a user. Model usage is demonstrated with two experiments and their analysis. Because this methodology does not require Monte Carlo simulation of damage to the airfield, the determination of element criticality is straightforward. The lucrative targets on the airfield are then the most critical elements which can be effectively attacked with available weapons and delivery systems. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1982
Accession Number
ADA115689

Entities

People

  • Brian J. Shook
  • Robert W. Mann

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aerial Warfare
  • Air Force
  • Air Force Facilities
  • Aircrafts
  • Attrition
  • Bombs
  • Computational Science
  • Computer Programming
  • Computer Simulations
  • Damage Assessment
  • Experimental Design
  • Fighter Bombers
  • Information Science
  • Maintenance
  • Models
  • Plastic Explosives
  • Social Sciences

Readers

  • Aerospace logistics and air mobility.
  • Instructional Design and Training Evaluation.
  • Regression Analysis.