基于大数据的航油成本精细管理研究——经济油量模型设计及应用  

Research on Big Data-based Fine Management of Aviation Fuel Costs Development and Application of an Economic Fuel Quantity Model

作　　者：彭浩 Albaraa Ksibi 蔡世煌 宋昊 李诗煌 李桂钊 PENG Hao;Albaraa KSIBI;CAI Shihuang;SONG Hao;LI Shihuang;LI Guizhao(China Southern Air Holding Co.,Ltd.,Guangzhou 510470,Guangdong,China;South China University of Technology,Guangzhou 510610,Guangdong,China)

机构地区：[1]中国南方航空集团有限公司,广东广州510470 [2]华南理工大学,广东广州510610

出　　处：《民航学报》2024年第1期116-121,111,共7页Journal of Civil Aviation

摘　　要：随着航空业的快速发展,航空公司面临着越来越复杂的运营挑战和成本压力,尤其是昂贵的航油成本。本文通过结合运筹学原理和大数据技术,开发了一个高效的经济油量模型,以帮助航空公司科学地管理航油成本。考虑到航油价格受全球市场、地缘政治和供需关系的显著影响,本研究提出的模型旨在应对价格波动和复杂航线规划的挑战,为航空公司提供一种更精确和科学的航油管理策略。本研究不仅有助于优化航空公司的燃油策略和降低成本,而且对于推动航空业的可持续发展具有重要意义。With the rapid development of the aviation industry,airlines face increasingly complex operational challenges and cost pressures,especially high aviation fuel costs.This paper develops an efficient economic fuel quantity model by integrating operations research principles and big data technology to help airlines manage aviation fuel costs scientifically.As fuel prices are significantly impacted by global markets,geopolitical factors and supply-demand relationship,the model aims to address the challenges of price volatility and complex route planning,and provide a more precise and scientific fuel management strategy for airlines.This research not only helps to optimize fuel strategies and reduce costs for airlines,but also is of great significance for promoting sustainable development of the aviation industry.

关 键 词：航空业 航空运营 航油成本 经济油量模型 运筹学 大数据技术 

分 类 号：F275[经济管理—企业管理] F561[经济管理—国民经济]