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中国管理科学 ›› 2008, Vol. 16 ›› Issue (4): 69-76.

• 论文 • 上一篇    下一篇

基于飞行品质数据的飞行员调度模型研究

赵宇1,2, 许保光1   

  1. 1. 中国科学院科技政策与管理科学研究所 北京 100190;
    2. 中国科学院研究生院, 北京 100049
  • 收稿日期:2007-12-30 修回日期:2008-07-25 出版日期:2008-08-31 发布日期:2008-08-31
  • 作者简介:赵宇(1982- ),男(汉族),河北邯郸人,中国科学院研究生院,中国科学院科技政策与管理科学研究所硕士生,研究方向:网络优化、工业工程.

Research on Crew Rostering Problem in Airline Company Based on the Crew’s Flight Quality Performance

ZHAO Yu1,2, XU Bao-guang1   

  1. 1. The Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2007-12-30 Revised:2008-07-25 Online:2008-08-31 Published:2008-08-31

摘要: 随着近几年我国航空业的迅猛发展,各大航空公司都在不断扩张自身规模,增加任务量,同时各公司又必须在保障安全的前提下进行飞行生产活动,这就使得飞行员的调度工作更为重要。本文在传统的飞行员调度模型基础上充分考虑安全的因素提出基于飞行品质数据的飞行员调度模型。通过考察调度过程中飞行员前期飞行品质表现情况,对飞行品质数据进行分类,设定搭配规则限制某些飞行品质分类级别较低的飞行员组成机组,实现提高排班安全性的目的。文中提出了根据飞行员工龄和千次率的分类方法,并运用列生成算法求解以周为单位的调度模型,这对于我国航空公司"安全第一,保障生产"的要求有着一定的借鉴意义。

关键词: 飞行品质, 调度模型, 列生成

Abstract: With the development of China's airline business, every air line company does their best to enlarge the scale of their coverage rate on airlines and enhance their control ability.But airline business considers the safety as the most important thing above all the other activities for the high risks of the business that made the crew rostering work more complicated.This paper gives a combination idea that immerges the data of flight quality performance and production record to make a more safe rostering plan.Given some rules and regulations, we can limit the poor performance pilots to fly together for the safety.An initial classification method was given to distinguish the good performance and 2002 performance pilots according to the work-age and events permillage-rate and column-generation was adopted to solve the weekly crew rostering problem.Although this is still a primary attempt in terms of the combination of production and safety, it makes sense for the airline companies' production and safety management.

Key words: flight quality performance, crew rostering problem, column-generation

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