基于灰靶理论的竞争航线货运机队规划研究

Research on Cargo Fleet Planning for Competitive Routes Based on Grey Target Theory

随着航空事业的发展,航空公司间的竞争关系不断加剧。为解决竞争环境下的航空公司的机队规划问题,建立了灰靶-PSO模型,并以航空公司货运航线机队规划为研究对象,验证模型的科学性。该模型引入灰靶理论,通过靶心度量化航空公司航线竞争力,其中为降低主观因素对结果的影响,引入C-OWA算子赋权法计算指标权重,将量化后的竞争力转换为航空公司在货运航线上的初始市场份额,并基于初始市场份额,运用粒子群算法对模型进行求解。通过数据仿真实验表明:建立的灰靶-PSO模型对于解决竞争环境下航空公司机队规划问题具有一定的科学性,可为航空公司在进行航线运营和机队规划前期提供决策参考。

With the development of aviation business,the competitive relationship among airlines has been intensified.In or-der to solve the fleet planning problem for airline companies under the competitive environment,a gray target-PSO model is estab-lished,and the scientific validity is verified by taking the fleet planning on airlines'cargo routes as the research object.The model introduces the grey target theory and quantifies the competitiveness that airlines have on their routes through the bull's-eye degree.In order to reduce the influence from subjective factors on the results,the C-OWA operator weighting method is introduced to calcu-late the index weights.The quantified competitiveness is converted into the initial market share for the airlines on the cargo routes.From the perspective of cargo route capacity allocation,the model is solved by particle swarm algorithm based on the initial market share.The data simulation results show that the capacity allocation of airlines on cargo routes is reasonable and effective,which indi-cates that the established grey target-PSO model is scientific for solving the fleet planning problem for airlines in a competitive envi-ronment,and can be used as a reference for airlines to make decisions in the early stage of route operation and fleet planning.