民航机场地面服务人力资源两阶段运筹优化算法

A Two-Stage Operation Optimization Algorithm for Human Resources in Ground Service of Civil Aviation Airport

为解决民航机场人员排班管理问题,在人力资源已知、人力需求曲线已知的情况下,研究如何更好地依据这种需求来配置每天的班次,既公平又满足员工个性化需求地完成员工到班次的指派。研究分为两个阶段:一是班次设计阶段,即在一段时期内的可用人力资源相对稳定,人力需求曲线相对准确提供的条件下,合理设计各班次开始时间、班次长度以及班次需求人力;二是优化排班阶段,即根据设计出的班次信息,按照约束集的要求进行优化排班,确定员工每天上班信息。研究成果在某机场客舱清洁室落地实施,对比机场传统的手工排班,该业务室人力浪费量上减少了约5人/h,人力资源利用率上提高了约18.67%,员工上班天数和上班工时均衡性分别提高了8.2%、48.5%,取得了良好的优化效果,具有良好的工程应用价值。

In order to solve the problem of civil aviation airport personnel scheduling management,under the condition of known human resources and known human demand curve,how to better configure the daily shift according to the demand was studied,which can not only be fair but also meet the personalized needs of employees to complete the assignment of employees to the shift.The research was divided into two stages,one was the shift design stage,under the condition that the available human resources were relatively stable in a period of time and the human demand curve was relatively accurate,the start time,length and human demand of each shift were reasonably designed.The second was the optimization scheduling stage,according to the designed shift information and the requirements of the constraint set,the optimization scheduling was carried out to determine the daily work information of employees.The research results were implemented in the cabin cleaning room of an airport.Compared with the traditional manual scheduling of the airport,the manpower waste of the business room was reduced by about 5 people/h,the utilization rate of human resources was increased by about 18.67%,and the balance of staff working days and working hours was increased by 8.2%and 48.5%respectively.It has achieved good optimization results and has good engineering application value.