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

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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.

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Data Availability

The data that support the findings of this study are derived from public domain resources. These prior studies (and datasets) are cited at relevant places within the text as references.

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Acknowledgements

The authors would like to thank Huang Yu for providing necessary flight and passenger data of a Chinese airport, and pay special thanks to Hsu et al. as their work provides useful information to this paper.

Funding

This work is supported by the National Natural Science Foundation of China (Grant No. U1933123).

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Correspondence to Xinzhi Zhou.

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Liu, Y., Yang, X., Xiang, Y. et al. Allocation and optimization of shared self-service check-in system based on integer programming model. J Comb Optim 44, 532–556 (2022). https://doi.org/10.1007/s10878-021-00839-6

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