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Improving Personnel Scheduling at Airline Stations

Author

Listed:
  • Michael J. Brusco

    (Florida State University, Tallahassee, Florida)

  • Larry W. Jacobs

    (Northern Illinois University, DeKalb, Illinois)

  • Robert J. Bongiorno

    (United Airlines, Elk Grove Township, Illinois)

  • Duane V. Lyons

    (United Airlines, Elk Grove Township, Illinois)

  • Baoxing Tang

    (United Airlines, Elk Grove Township, Illinois)

Abstract

Many service organizations encounter personnel tour-scheduling problems which focus on the efficient assignment of daily shift schedules and work days to employees across a weekly planning horizon. The airline Industry, in particular, faces a highly complex and difficult tour-scheduling environment for their ground station personnel, During the past twenty years, the airlines have worked to improve continuously their abilities to effectively schedule personnel working at planesides, counters, and gates in airline stations. Substantial reductions in labor costs have resulted from the use of efficient tour-scheduling methods for such workers. We report on the development and implementation of two modules designed to enhance the tour-scheduling process associated with United Airlines’ Pegasys Manpower Planning System. The first module uses column generation to improve the selection of employee shifts. The second module, a local search heuristic based on simulated annealing, enables initial feasible tour-scheduling solutions to rapidly improve. Using data collected from all 119 United Airlines stations across the U.S., we find that the incorporation of the modules results in a potential annual cost savings of more than $8 million. We conclude with a discussion of notable implementation issues and extensions.

Suggested Citation

  • Michael J. Brusco & Larry W. Jacobs & Robert J. Bongiorno & Duane V. Lyons & Baoxing Tang, 1995. "Improving Personnel Scheduling at Airline Stations," Operations Research, INFORMS, vol. 43(5), pages 741-751, October.
  • Handle: RePEc:inm:oropre:v:43:y:1995:i:5:p:741-751
    DOI: 10.1287/opre.43.5.741
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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. Castillo, Ignacio & Joro, Tarja & Li, Yong Yue, 2009. "Workforce scheduling with multiple objectives," European Journal of Operational Research, Elsevier, vol. 196(1), pages 162-170, July.
    3. Bürgy, Reinhard & Michon-Lacaze, Hélène & Desaulniers, Guy, 2019. "Employee scheduling with short demand perturbations and extensible shifts," Omega, Elsevier, vol. 89(C), pages 177-192.
    4. Michael J. Fry & Michael J. Magazine & Uday S. Rao, 2006. "Firefighter Staffing Including Temporary Absences and Wastage," Operations Research, INFORMS, vol. 54(2), pages 353-365, April.
    5. Brusco, Michael J. & Jacobs, Larry W., 1998. "Eliminating redundant columns in continuous tour scheduling problems," European Journal of Operational Research, Elsevier, vol. 111(3), pages 518-525, December.
    6. 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.
    7. Peters, Emmanuel & de Matta, Renato & Boe, Warren, 2007. "Short-term work scheduling with job assignment flexibility for a multi-fleet transport system," European Journal of Operational Research, Elsevier, vol. 180(1), pages 82-98, July.
    8. Linda V. Green & Peter J. Kolesar & João Soares, 2001. "Improving the Sipp Approach for Staffing Service Systems That Have Cyclic Demands," Operations Research, INFORMS, vol. 49(4), pages 549-564, August.
    9. de Matta, Renato & Peters, Emmanuel, 2009. "Developing work schedules for an inter-city transit system with multiple driver types and fleet types," European Journal of Operational Research, Elsevier, vol. 192(3), pages 852-865, February.
    10. Michael J. Brusco & Larry W. Jacobs, 2000. "Optimal Models for Meal-Break and Start-Time Flexibility in Continuous Tour Scheduling," Management Science, INFORMS, vol. 46(12), pages 1630-1641, December.
    11. Michael Brusco & Hans-Friedrich Köhn, 2009. "Clustering Qualitative Data Based on Binary Equivalence Relations: Neighborhood Search Heuristics for the Clique Partitioning Problem," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 685-703, December.
    12. Sebastián Genta & Juan Muñoz, 2007. "On assigning drivers for a home-delivery system on a performance basis," Annals of Operations Research, Springer, vol. 155(1), pages 107-117, November.
    13. Easton, Fred F. & Mansour, Nashat, 1999. "A distributed genetic algorithm for deterministic and stochastic labor scheduling problems," European Journal of Operational Research, Elsevier, vol. 118(3), pages 505-523, November.
    14. Casado Yusta, S. & Pacheco Bonrostro, J., 2003. "Estudio comparativo de diferentes estrategias metaheurísticas para la resolución del labor scheduling problem./Analisys of different methauristas for solving labor scheduling," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 21, pages 537-554, December.
    15. M J Brusco & T R Johns, 2011. "An integrated approach to shift-starting time selection and tour-schedule construction," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1357-1364, July.
    16. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
    17. Brusco, Michael J., 2014. "A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 38-53.
    18. Michael J. Brusco & Larry W. Jacobs, 1998. "Personnel Tour Scheduling When Starting-Time Restrictions Are Present," Management Science, INFORMS, vol. 44(4), pages 534-547, April.
    19. Brusco, Michael J., 2015. "A bicriterion algorithm for the allocation of cross-trained workers based on operational and human resource objectives," European Journal of Operational Research, Elsevier, vol. 247(1), pages 46-59.
    20. Oyku Ahipasaoglu & Nesim Erkip & Oya Ekin Karasan, 2019. "The venue management problem: setting staffing levels, shifts and shift schedules at concession stands," Journal of Scheduling, Springer, vol. 22(1), pages 69-83, February.
    21. De Bruecker, Philippe & Beliën, Jeroen & Van den Bergh, Jorne & Demeulemeester, Erik, 2018. "A three-stage mixed integer programming approach for optimizing the skill mix and training schedules for aircraft maintenance," European Journal of Operational Research, Elsevier, vol. 267(2), pages 439-452.
    22. 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).
    23. S Casado & M Laguna & J Pacheco, 2005. "Heuristical labour scheduling to optimize airport passenger flows," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(6), pages 649-658, June.
    24. Brusco, Michael J. & Jacobs, Larry W., 2001. "Starting-time decisions in labor tour scheduling: An experimental analysis and case study," European Journal of Operational Research, Elsevier, vol. 131(3), pages 459-475, June.
    25. Hur, Daesik & Mabert, Vincent A. & Bretthauer, K.M.Kurt M., 2004. "Real-time schedule adjustment decisions: a case study," Omega, Elsevier, vol. 32(5), pages 333-344, October.

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