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Multidimensional military manpower planning based on a career path approach

Author

Listed:
  • Oussama Mazari-Abdessameud

    (Department of Mathematics
    Military Polytechnic School)

  • Filip Van Utterbeeck

    (Department of Mathematics)

  • Guy Van Acker

    (General Directorate of Human Resources of the Belgian Defence)

  • Marie-Anne Guerry

    (Vrije Universiteit Brussel)

Abstract

This article presents a modeling approach to tackle the multidimensional military manpower planning problem. Requirements relevant to military manpower planning include the need to maintain distributions of manpower characteristics (such as rank and age) with respect to career advancement within acceptable proximity to desired norms. Moreover, they include ensuring that the personnel allocated to the various roles of the defence force will be adequate throughout the planning period. Addressing these tasks simultaneously represents a significant challenge for human resources managers. This paper proposes a model that assigns personnel to career paths (CPs) pre-defined as feasible prior to optimization. Adequate solutions through this model are generated by mixed integer goal programming. This solving approach is applied to a case study of the Belgian Defence’s manpower and results in valuable insights for military human resources managers. For the illustration of our approach, we focus on a military organization, but it could be used for any hierarchical organization, such as a police force or a university.

Suggested Citation

  • Oussama Mazari-Abdessameud & Filip Van Utterbeeck & Guy Van Acker & Marie-Anne Guerry, 2020. "Multidimensional military manpower planning based on a career path approach," Operations Management Research, Springer, vol. 13(3), pages 249-263, December.
  • Handle: RePEc:spr:opmare:v:13:y:2020:i:3:d:10.1007_s12063-020-00165-w
    DOI: 10.1007/s12063-020-00165-w
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    References listed on IDEAS

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    1. Mark E T Horn & Tarek Elgindy & Antonio Gomez-Iglesias, 2016. "Strategic workforce planning for the Australian Defence Force," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(4), pages 664-675, April.
    2. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "Workforce planning incorporating skills: State of the art," European Journal of Operational Research, Elsevier, vol. 243(1), pages 1-16.
    3. E. S. Bres & D. Burns & A. Charnes & W. W. Cooper, 1980. "A Goal Programming Model for Planning Officer Accessions," Management Science, INFORMS, vol. 26(8), pages 773-783, August.
    4. Nathaniel D. Bastian & Pat McMurry & Lawrence V. Fulton & Paul M. Griffin & Shisheng Cui & Thor Hanson & Sharan Srinivas, 2015. "The AMEDD Uses Goal Programming to Optimize Workforce Planning Decisions," Interfaces, INFORMS, vol. 45(4), pages 305-324, August.
    5. Silverman, Joe & Steuer, Ralph E. & Whisman, Alan W., 1988. "A multi-period, multiple criteria optimization system for manpower planning," European Journal of Operational Research, Elsevier, vol. 34(2), pages 160-170, March.
    6. Mark Zais & Dan Zhang, 2016. "A Markov chain model of military personnel dynamics," International Journal of Production Research, Taylor & Francis Journals, vol. 54(6), pages 1863-1885, March.
    7. X Zhu & H D Sherali, 2009. "Two-stage workforce planning under demand fluctuations and uncertainty," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 94-103, January.
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    Cited by:

    1. Leo MacDonald & Jomon Aliyas Paul, 2024. "A risk analytics model for strategic workforce planning: readiness of enlisted military personnel," Annals of Operations Research, Springer, vol. 338(1), pages 513-533, July.

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