The shared self-service check-in system can effectively alleviate the tension of airport caused by limited resources in the future. The effective allocation of resources is the key to improving the performance of this collaborative work system. In this paper, an associative decision integer programming model is established to quantitatively describe the total baggage handling time of the collaborative work system by using piece-wise functions under different allocation schemes. In order to meet passengers’ expectation of queuing time, the queue system is optimized to constrain the service level, and eventually the system efficiency is significantly improved. The discrete event simulation results show that the allocation scheme generated by the model can not only largely improve the equipment utilization rate by 124%, but is also able to shorten the queuing time of passengers by 72.8%, which provides the possibility to comprehensively optimize and improve the efficiency of future airport baggage handling systems.

共享自助值机系统可以有效缓解未来因资源有限而造成的机场紧张。资源的有效配置是提高这种协同工作系统性能的关键。本文建立关联决策整数规划模型，利用分段函数在不同分配方案下定量描述协同工作系统的总行李处理时间。为了满足乘客对排队时间的期望，对排队系统进行优化，约束服务水平，最终显着提高系统效率。离散事件仿真结果表明，模型生成的分配方案不仅可以大幅度提高设备利用率124%，