Abstract: In order to study the influences of non-scheduled factors on aircraft deicing guarantee ability of busy airports during winter operation, and to ease the operation safety pressure caused by the surging demand of aircraft deicing under the condition of incomplete information, a multi-object optimization allocation model of aircraft deicing was built by using the 0-1 integer programming method. Actual data on 13 681 deicing flights of a certain busy airport during winter operation in three snowfall seasons were taken as a sample, the factors influencing aircraft deicing guarantee ability were identified by comparing the 20 different situations combined of different snow conditions and different non-scheduled factors. The results show that enough ice apron input can reduce the deicing delay more effectively than optimization of resource usage in extreme snowfall weather, that unreasonable flight timing may result in a pressure on aircraft deicing guarantee ability which has nothing to do with the quantity and using manner of ice aprons, and that the quantity and using manner of ice aprons jointly affect the improvement of aircraft deicing guarantee ability.

Key words: aircraft deicing guarantee ability, non-scheduled factors, operation safety, multi-objective optimization, 0-1 programming