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Operational workforce planning for check-in counters at airports

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  • Stolletz, Raik

Abstract

This paper addresses operation models for workforce planning for check-in systems at airports. We characterize different tasks of the hierarchical workforce planning problem with time-dependent demand. A binary linear programming formulation is developed for the fortnightly tour scheduling problem with flexible employee contracts. This binary programming model is solved for optimality by CPLEX for real-world demand scenarios with different workforce sizes. The numerical study analyzes the impact of the degree of flexibility and economies of scale. The model formulation is extended to generate convenient tours with regard to employee preferences.

Suggested Citation

  • Stolletz, Raik, 2010. "Operational workforce planning for check-in counters at airports," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 414-425, May.
    • Handle: RePEc:eee:transe:v:46:y:2010:i:3:p:414-425
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    Citations

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    Cited by:

    1. Ivan Kovynyov & Ralf Mikut, 2019. "Digital technologies in airport ground operations," Netnomics, Springer, vol. 20(1), pages 1-30, April.
    2. Silke Jütte & Daniel Müller & Ulrich W. Thonemann, 2017. "Optimizing railway crew schedules with fairness preferences," Journal of Scheduling, Springer, vol. 20(1), pages 43-55, February.
    3. Ferdinand Kiermaier & Markus Frey & Jonathan F. Bard, 2020. "The flexible break assignment problem for large tour scheduling problems with an application to airport ground handlers," Journal of Scheduling, Springer, vol. 23(2), pages 177-209, April.
    4. Hans Corsten & Ferdinand Becker & Hagen Salewski, 2020. "Integrating truck and workforce scheduling in a cross-dock: analysis of different workforce coordination policies," Journal of Business Economics, Springer, vol. 90(2), pages 207-237, March.
    5. Gérard, Matthieu & Clautiaux, François & Sadykov, Ruslan, 2016. "Column generation based approaches for a tour scheduling problem with a multi-skill heterogeneous workforce," European Journal of Operational Research, Elsevier, vol. 252(3), pages 1019-1030.
    6. Maik Günther & Volker Nissen, 2014. "A comparison of three heuristics on a practical case of sub-daily staff scheduling," Annals of Operations Research, Springer, vol. 218(1), pages 201-219, July.
    7. Julie Poullet & Axel Parmentier, 2020. "Shift Planning Under Delay Uncertainty at Air France: A Vehicle-Scheduling Problem with Outsourcing," Transportation Science, INFORMS, vol. 54(4), pages 956-972, July.
    8. Lishun Zeng & Mingyu Zhao & Yangfan Liu, 2019. "Airport ground workforce planning with hierarchical skills: a new formulation and branch-and-price approach," Annals of Operations Research, Springer, vol. 275(1), pages 245-258, April.
    9. Farahani, Poorya & Grunow, Martin & Akkerman, Renzo, 2013. "Design and operations planning of municipal foodservice systems," International Journal of Production Economics, Elsevier, vol. 144(1), pages 383-396.
    10. Wang, Fan & Zhang, Chao & Zhang, Hui & Xu, Liang, 2021. "Short-term physician rescheduling model with feature-driven demand for mental disorders outpatients," Omega, Elsevier, vol. 105(C).
    11. Emilio Zamorano & Annika Becker & Raik Stolletz, 2018. "Task assignment with start time-dependent processing times for personnel at check-in counters," Journal of Scheduling, Springer, vol. 21(1), pages 93-109, February.
    12. Mark W. Isken & Osman T. Aydas, 2022. "A tactical multi-week implicit tour scheduling model with applications in healthcare," Health Care Management Science, Springer, vol. 25(4), pages 551-573, December.
    13. Stolletz, Raik & Brunner, Jens O., 2012. "Fair optimization of fortnightly physician schedules with flexible shifts," European Journal of Operational Research, Elsevier, vol. 219(3), pages 622-629.
    14. Julien Maheut & Jose P. Garcia-Sabater & Julio J. Garcia-Sabater & Sofia Garcia-Manglano, 2024. "Solving the multisite staff planning and scheduling problem in a sheltered employment centre that employs workers with intellectual disabilities by MILP: a Spanish case study," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 569-591, September.
    15. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    16. Wang, Wenshu & Xie, Kexin & Guo, Siqi & Li, Weixing & Xiao, Fan & Liang, Zhe, 2023. "A shift-based model to solve the integrated staff rostering and task assignment problem with real-world requirements," European Journal of Operational Research, Elsevier, vol. 310(1), pages 360-378.
    17. Wu, Cheng-Lung & Lim, Shao Xuan, 2021. "Effects of enterprise bargaining and agreement clauses on the operating cost of airline ground crew scheduling," Journal of Air Transport Management, Elsevier, vol. 91(C).
    18. Wu, Zhiying & Xu, Guoning & Chen, Qingxin & Mao, Ning, 2023. "Two stochastic optimization methods for shift design with uncertain demand," Omega, Elsevier, vol. 115(C).

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