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Research On Optimization Of Deicing Resource Scheduling In Multi-Deicing Airport

Posted on:2021-07-14Degree:MasterType:Thesis
Country:ChinaCandidate:J Q ShenFull Text:PDF
GTID:2492306464480644Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
Airport departure flights and transit flights are subject to accept various ground services,which are completed by corresponding support vehicles.Deicing is the last ground service before the aircraft takes off.In extreme weather conditions and flight peak hours,the utilization of deicing resources is often tight,and the service efficiency of deicing often has a great impact on the punctuality rate of the airport.In order to improve the efficiency of the ground deicing support,this paper studies the deicing vehicle scheduling of an airport,mainly focusing on the centralized deicing scheduling.Aiming at the optimization problem of deicing vehicle scheduling,considering the deicing time,model matching,weather conditions and other constraints,the multiobjective optimization model of airport centralized deicing scheduling is established by minimizing the total aircraft queuing time,the takeoff delay time and aircraft moving distance.The improved greedy random adaptive search algorithm(IGRASP)is applied to the model solution.The flight data of an international airport in the capital is used to verify the results,and the FCFS,GWOAC and GWAC algorithms are compared with the improved algorithms.The experimental results show that IGRASP can solve the congestion of airport better.At the same time,the working hours of deicing vehicles and the number of flights served are taken into account to achieve multi-objective balance.Based on the analysis of the characteristics of the multi deicing locations model,a simplified discrete deicing dynamic simulation model is constructed according to the deicing resources.Opt Quest decision optimization is carried out in Any Logic software,the decision variables with the minimum cost function are iterated out,and the sensitivity analysis can explore the influence of variables on function properties.The optimal solution obtained in each iteration is used to calculate the relationship between the input of deicing pad and the length of deicing queue and the length of stay,which can be used for reference in the arrangement of deicing resources in airports.
Keywords/Search Tags:Centralized Deicing, Multi-objective Optimization, IGRASP, OptQuest, Sensitivity Analysis
PDF Full Text Request
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