Simulation Modeling and Analysis of F-16 Pilot Training Squadron

Abstract

The need for fighter pilots in the Turkish Air Force is expected to increase with the planned acquisition of Joint Strike Fighters, ongoing new F-16 purchases, and other upgrades to the Turkish Air Force fighter inventory. This increased demand will affect the current fighter training squadron curriculum and scheduling. This study focuses on issues related to 143rd Oncel squadron F-16 Pilot Training with this projected increase in number of student pilots (SPs). Completing the training periods on time is an important issue along with maintaining effective training performance. In our study, the Total Time of the training period serves as our primary performance measure. Simulation modeling concepts are applied to examine the training period based on the squadron syllabus. After constructing a simulation model using Arena, Design of Experiment, Regression Analysis and Metamodeling are implemented to capture the effects of the major factors, including SP, Instructor Pilot, Bandit and F-16, aircraft availability and how they interact with each other. The utilization of IPs and Bandits is also examined as a performance measure. In addition, a sensitivity analysis is conducted using the model with the current 143rd Oncel squadron resources.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2008
Accession Number
ADA480438

Entities

People

  • Adem Okal

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Curriculum
  • Data Science
  • Engineering
  • Experimental Design
  • Flight Training
  • Information Science
  • Instructors
  • Inventory
  • Mathematical Models
  • Regression Analysis
  • Simulations
  • Simulators
  • Statistical Analysis
  • Students
  • Training

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aviation Science / Aeronautics.
  • Life Cycle Cost Analysis