Improving Automated Schedules for Naval Air Station Kingsville

Abstract

Currently, many squadrons in the Naval Aviation community handwrite their daily flight schedules, which is typically an all-day effort. This thesis creates an optimization model to build schedules computationally instead of manually for Navy's Training Squadron 22 (VT-22), which specializes in Intermediate Jet and Advanced Strike training. An optimized scheduling process can improve the efficiency of the training pipeline, saving money and improving aviation readiness. A preliminary model, Training Event Scheduling Tool (TEST), was provided to VT-22 in 2019 by Meditz. TEST takes a spreadsheet containing student prerequisites, instructors, and events, and creates a daily or weekly schedule at an hourly resolution. This thesis formulates and tests a revised integer linear program, TEST-2, an enhancement to TEST that models weather, substitutable events, and student currency. TEST-2 creates daily schedules in less than 10 minutes and weekly schedules in about four hours. These schedules consider a majority of the necessary constraints for a useable schedule. For a sample weeks input provided by VT-22, TEST-2 schedules about 60 more events over the course of the week than were manually scheduled and completed. Currently, many events are cancelled due to instructor non-availabilities, weather, and jet availability. Because TEST-2 considers these three factors in building its schedules, cancellations due to these factors are minimized.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2021
Accession Number
AD1150836

Entities

People

  • Jasmine L. Ye

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Aircrafts
  • California
  • Cancellation
  • Flight Training
  • Instructors
  • Linear Programming
  • Mathematical Programming
  • Models
  • Money
  • Naval Air Stations
  • Naval Aviation
  • Operations Research
  • Optimization
  • Schools
  • Simulators
  • Students
  • Training
  • United States
  • United States Naval Academy

Readers

  • Aviation Science / Aeronautics.
  • Life Cycle Cost Analysis
  • Operations Research