Accession Number : ADA516954


Title :   Optimizing an F-16 Squadron Weekly Pilot Schedule for the Turkish Air Force


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT


Personal Author(s) : Yavuz, Murat


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a516954.pdf


Report Date : Mar 2010


Pagination or Media Count : 85


Abstract : Fighter squadrons in the Turkish Air Force fly according to weekly flight schedules. This scheduling requires a great deal of time, and the process is not optimal, as the Turkish Air Force doesn't have an automated tool for flight scheduling. There are many constraints to this scheduling, including crew rest, the number of sorties a pilot is required to fly in a month, and currency limits. In fighter squadrons, schedulers are generally pilots, and they prepare the schedule in addition to their other squadron duties. Providing these squadrons with an automated scheduling tool will save schedulers time that they can use for other squadron tasks such as mission preparation, briefings, and debriefings. In this research, a heuristic approach to flight scheduling is presented. GRASP (Greedy Randomized Adaptive Search Procedure) is applied to the weekly pilot scheduling problem. A code for GRASP implementation is written in MATLAB. Two different approaches are used in the analysis. First, the code is run for four weekly schedules for an F-16 squadron of the Turkish Air Force. Then, a weekly flight schedule is created randomly. In the second approach, the created flight schedule is used for three different scenarios that represent possible real-life situations. For all scenarios and real schedules, GRASP performed well and smaller standard deviations in sortie numbers were obtained while keeping all pilots within the currency limit of each mission.


Descriptors :   *SQUADRONS , *TURKEY , *AUTOMATION , *PILOTS , *JET FIGHTERS , *OPTIMIZATION , *SCHEDULING , *MILITARY FORCES(FOREIGN) , ALLOCATIONS , HEURISTIC METHODS , DECISION SUPPORT SYSTEMS , MISSIONS , AVAILABILITY , AIR FORCE TRAINING , THESES , FLIGHT TRAINING , WEATHER , REQUIREMENTS , ALGORITHMS , SCENARIOS


Subject Categories : Military Aircraft Operations
      Personnel Management and Labor Relations
      Operations Research
      Military Forces and Organizations


Distribution Statement : APPROVED FOR PUBLIC RELEASE