Allocation and optimization of shared self-service check-in system based on integer programming model

Ying Liu (), Xiuqing Yang, Yong Xiang, Yi Chen, Gang Mao and Xinzhi Zhou ()
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Ying Liu: Sichuan University
Xiuqing Yang: The Second Research Institute of CAAC
Yong Xiang: The Second Research Institute of CAAC
Yi Chen: The Second Research Institute of CAAC
Gang Mao: The Second Research Institute of CAAC
Xinzhi Zhou: Sichuan University

Journal of Combinatorial Optimization, 2022, vol. 44, issue 1, No 26, 532-556

Abstract: Abstract 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.

Keywords: Self-service check-in; Resource allocation; Integer programming model; Serpentine parallel queue system; Discrete event simulation (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10878-021-00839-6

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