An Optimization Model for the Fleet Scheduling Problem Integrating with Aircraft Aging Data

• Main Authors: HSU HSI-TSONG, 徐錫聰
• Other Authors: GUO SIN-MIN
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/88683639352611129728

碩士 === 義守大學 === 工業工程與管理學系 === 91 === The airframe bears the flight load directly during the flight. For high performance fighters which maneuvering severity is much higher than civil airplanes, severe flight loads can degrade the airframe strength significantly. Therefore, the flight management employs the flight data recorder system to monitor the airframe strength, evaluate the usability of each aircraft, or issue the maintenance action to ensure the flight safety. There is a strong need to develop a decision tool to facilitate better mission assignment while maintaining the balance of the airframe degradation across the aircrafts. This research constructs a mathematical programming model for flight assignment to meet the mission requirements and constraints of the airframe strength. The model considers the effects of different types of mission on the airframe degradation in major areas. The objective function emphasizes the balance of available flight hours and the airframe degradation among the aircrafts. Weighting factors can reflect the relative importance of the airframe strength versus available flight hours and allow the decision maker to attain a more desirable assignment The research also conducts a 10-years simulation based on the static assignment model. The simulation result shows that our model not only meets the mission requirements consistently but also effectively controls the available flight hours and the airframe degradation throughout the time span. The decision maker of the fleet management can utilize this assignment model for periodic and aperiodic assessment of the fleet structural consumption to improve the flight safety. Other benefits include longer economical life, better maintenance schedule, and the reduction of the logistics costs