Comparing F-16 Maintenance Scheduling Philosophies

Abstract

In the F-16 fighter community it is believed that the flying schedule can make or break a wing's maintenance effort. Nevertheless, there is no published scientific support behind many commonly used maintenance scheduling philosophies. The problem is that a generally accepted overall scheduling philosophy to improve the long term health of the fleet does not exist. The purpose of this research is tri-fold: to identify the most important scheduling philosophies, to identify the most meaningful metrics that capture the long term health of the fleet and maintenance effectiveness, and to compare the various philosophies using the performance measures to help maintenance managers choose the most appropriate one. A stochastic simulation model was generated to model the sortie generation process, and a full factorial Design of Experiment was used to identify statistically significant differences among the proposed scheduling philosophies. The results of the study show that the "3 waves Monday through Thursday and 1 wave on Friday" maintenance scheduling philosophy seems to outperform the other philosophies regardless of the sortie surge level or the time between landing and take off. This philosophy is also less sensitive than the alternative philosophies in sortie level and time between landing and take-off changes.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA436130

Entities

People

  • Konstantinos Iakovidis

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Programs
  • Data Analysis
  • Data Science
  • Databases
  • Delphi Method
  • Deployment
  • Experimental Design
  • Information Retrieval
  • Information Science
  • Logistics
  • Maintenance
  • Maintenance Management
  • Maintenance Personnel
  • Management Personnel
  • Organizational Structure
  • Surveys

Readers

  • Aviation Science / Aeronautics.
  • Logistics and Supply Chain Management.
  • Regression Analysis.