基于智能算法的机组自动排班方法  

Method of Airline Crew Automatic Rostering Based on Intelligent Algorithm

作　　者：王烨 WANG Ye(Air China Limited,Beijing 100621,China)

机构地区：[1]中国国际航空股份有限公司,北京100621

出　　处：《民航学报》2023年第5期26-30,共5页Journal of Civil Aviation

摘　　要：燃油成本和机组薪资成本是航空公司运营成本的主要组成部分,相较于燃油成本的不可控,通过合理优化机组人员的排班计划,从而减少机组薪资成本,是提高企业的效益与竞争力的重要途径。本文基于智能算法,对航空公司机组排班问题的求解算法进行了研究,同时对比了智能算法与传统算法在解决机组排班问题时的差异与各自的特点。基于智能算法的机组自动排班方法的建立与实现,能够帮助提高航空公司在制定机组排班计划时的合理性,能够更有效地帮助航空公司控制运营成本,同时也有助于推进我国航空公司的信息化与智能化水平。Fuel costs and crew salary costs are the main components of airline operating costs.While fuel costs are uncontrollable,optimizing the crew rostering plan to reduce crew salary costs is an important way to improve efficiency and competitiveness of airlines.Based on intelligent algorithm,this paper studies the solution algorithm of the airline crew rostering problem and compares the differences between intelligent algorithm and traditional algorithm.The establishment and implementation of this kind of automatic method can help airlines to improve the rationality of the crew rostering plan and control operating costs more effectively.Meanwhile,it can promote the informatization and intellectualization of Chinese airlines.

关 键 词：机组排班 机组配对 机组轮班 智能算法 遗传算法 

分 类 号：F562.6[经济管理—产业经济]