基于多目标的机队机型最优分配方法研究

发布时间：2018-07-04 19:52

本文选题：机队规划 + 机型分配　；参考：《中国民航大学》2017年硕士论文

【摘要】：机队规划中的机型分配问题就是研究在满足客、货运输需求和机队现有构成的前提下,确定出最合适的机型来执飞相应航线,从而降低运行成本、提高利润。本文提出了三个机型分配优化模型。首先,建立了一个最小成本的机型分配模型。模型中加入了机场起降费成本的考虑,使该模型能兼顾到中、小型航空公司、支线航空公司和低成本航空公司的关切。其次,结合飞机性能考虑,建立了一个最大业载里程的机型分配模型。该模型可以让航空公司根据现有机队,通过优化分配,得到最大运力部属方案。模型也可以让航空公司在运力紧张、无法短时间内购置新的飞机的时候,通过优化调整机型分配方案,使现有运力得到提升。该模型可以同时适用于客运和货运航空公司。最后,将最大业载里程模型修改为最大业载量收入模型,提出了一个最大利润的多目标机型分配模型。同时考虑旅客溢出、旅客再捕获和客座率问题,使模型更符合日常实际情况。模型中定义了航空公司类型系数,能够使模型适用于客运和货运航空公司。该模型还可以帮助客运航空公司,在客运市场需求量减少时,通过增加货运运力部署,采取客、货运输业务互补来确保收益。本文提出的三个机型分配模型,都分别在LINGO软件中进行了实例建模计算,利用国内某航空公司的数据进行实例求解。求解多目标优化的过程中使用了层次-熵权法。通过实例计算,证明了模型的可行性和实用性。该优化模型清晰明确,为航空公司机队的优化分配工作提供了理论参考。
[Abstract]:On the premise of satisfying the demand of passenger and cargo transportation and the existing structure of the air fleet, the model assignment problem in fleet planning is to determine the most suitable model to fly the corresponding route, thus reducing the running cost and increasing the profit. In this paper, three models of model allocation optimization are proposed. First of all, a minimum cost model of model allocation is established. The cost of airport takeoffs and landings is taken into account in the model, which enables the model to take into account the concerns of medium, small airlines, regional airlines and low-cost airlines. Secondly, considering the aircraft performance, a model of maximum mileage distribution is established. According to the existing fleet, the model allows airlines to obtain the maximum capacity subordinate scheme by optimizing allocation. The model can also allow airlines to upgrade their existing capacity by optimizing and adjusting the model allocation scheme when their capacity is too tight to buy new aircraft in a short period of time. The model can be applied to both passenger and cargo airlines. Finally, the maximum mileage model is modified to the maximum payload income model, and a multi-objective model of maximum profit is proposed. At the same time, the problems of passenger overflow, passenger recapture and passenger seating ratio are considered to make the model more suitable for daily practice. An airline type coefficient is defined in the model, which makes the model applicable to passenger and cargo carriers. The model can also help passenger airlines to ensure revenue by increasing freight capacity deployment and taking passenger and cargo transport operations complementary to each other when the demand for passenger transport market is reduced. The three models proposed in this paper are modeled and calculated by example in lingo software, and solved by example using the data of a domestic airline. The hierarchical-entropy method is used to solve the multi-objective optimization. The feasibility and practicability of the model are proved by an example. The model is clear and clear, and provides a theoretical reference for the optimal allocation of airline fleet.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：V352

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