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Mathematical formulations for large scale check-in counter allocation problem

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  • Lalita, T.R.
  • Manna, D.K.
  • Murthy, G.S.R.

Abstract

Strategic planning of check-in counter allocation with a focus on passenger waiting time is essential for airport operators to accommodate airline departures. This article proposes novel exact integer linear programming formulations for implementing first-in-first-out queue discipline, controlling waiting time and determining variable counter allocation with adjacency constraints for real world problems. Exact formulations in the existing literature handle small problems but do not address queue discipline and explicit control of waiting time. With our formulations, we solved live problems huge in size compared to those reported in the literature. The solutions are very efficient with passenger waiting times well below the international norms and high counter utilization.

Suggested Citation

  • Lalita, T.R. & Manna, D.K. & Murthy, G.S.R., 2020. "Mathematical formulations for large scale check-in counter allocation problem," Journal of Air Transport Management, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:jaitra:v:85:y:2020:i:c:s0969699719300444
    DOI: 10.1016/j.jairtraman.2020.101796
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    References listed on IDEAS

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    Cited by:

    1. T. R. Lalita & G. S. R. Murthy, 2021. "The wind power scheduling problem," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 810-834, December.
    2. Ying Liu & Xiuqing Yang & Yong Xiang & Yi Chen & Gang Mao & Xinzhi Zhou, 2022. "Allocation and optimization of shared self-service check-in system based on integer programming model," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 532-556, August.
    3. T. R. Lalita & G. S. R. Murthy, 2022. "Compact ILP formulations for a class of solutions to berth allocation and quay crane scheduling problems," OPSEARCH, Springer;Operational Research Society of India, vol. 59(1), pages 413-439, March.
    4. Forbes, M.A. & Harris, M.G. & Jansen, H.M. & van der Schoot, F.A. & Taimre, T., 2024. "Combining optimisation and simulation using logic-based Benders decomposition," European Journal of Operational Research, Elsevier, vol. 312(3), pages 840-854.

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