关键词: 航空运输, 多维满意度, 字典序优化, 混合技能派工, 地服人员调度

Abstract: The job satisfaction of airport ground staff is crucial for enhancing work efficiency. To addressing the issues of ground staff shortages and overlooked satisfaction, this paper proposes a multi-objective mixed integer programming model for mixed-skilled task assignment incorporating ground staff satisfaction. While ensuring task completion rates, this study establishes a multidimensional satisfaction index system that considers factors such as workload balance, adequate meal breaks, and frequency of simultaneous multi-aircraft operations. A multi-objective mixed-integer programming model is developed and solved using the solver Gurobi 12.0. Through case studies using typical data from Xiamen Gaoqi International Airport on peak workdays, the results show that compared to existing scheduling methods, the proposed approach significantly improves the work experience of ground staff. In terms of fairness, the deviation in average work hours per person is reduced from 68.5 minutes to 27.4 minutes, a 60% reduction. For comfortable meal times, the proportion of comfortable meal time increases from 71.2% to 98.5%. Through the optimization of the dual aircraft coordination mechanism, the average number of ground staff required per 100 audit tasks increased from 87 to 97, effectively easing the work pressure of ground staff. The proposed method can effectively alleviate the contradiction between operational efficiency and employee satisfaction, providing a decision framework for airline ground staff management considering both the completion rate of audit tasks and the sustainability of human resources.

Key words: air transportation, multidimensional satisfaction, dictionary order optimization, mixed-skilled task assignment, ground staff scheduling