IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v13y2020i3d10.1007_s12063-020-00165-w.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-020-00165-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12063-020-00165-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jingbo Huang & Jiting Li & Yonghao Du & Yanjie Song & Jian Wu & Feng Yao & Pei Wang, 2023. "Research of a Multi-Level Organization Human Resource Network Optimization Model and an Improved Late Acceptance Hill Climbing Algorithm," Mathematics, MDPI, vol. 11(23), pages 1-19, November.
    2. Yongjian Li & Jian Chen & Xiaoqiang Cai, 2007. "An integrated staff-sizing approach considering feasibility of scheduling decision," Annals of Operations Research, Springer, vol. 155(1), pages 361-390, November.
    3. Restrepo, María I. & Gendron, Bernard & Rousseau, Louis-Martin, 2017. "A two-stage stochastic programming approach for multi-activity tour scheduling," European Journal of Operational Research, Elsevier, vol. 262(2), pages 620-635.
    4. Turan, Hasan Hüseyin & Jalalvand, Fatemeh & Elsawah, Sondoss & Ryan, Michael J., 2022. "A joint problem of strategic workforce planning and fleet renewal: With an application in defense," European Journal of Operational Research, Elsevier, vol. 296(2), pages 615-634.
    5. 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.
    6. Lee A Evans & Ki-Hwan G Bae, 2019. "US Army performance appraisal policy analysis: a simulation optimization approach," The Journal of Defense Modeling and Simulation, , vol. 16(2), pages 191-205, April.
    7. Sharan Srinivas & Mohammadmahdi Alizadeh & Nathaniel D.Bastian, 2017. "Optimizing Student Team and Job Assignments for the Holy Family Academy," Interfaces, INFORMS, vol. 47(2), pages 163-174, April.
    8. José Fernández & Boglárka Tóth, 2009. "Obtaining the efficient set of nonlinear biobjective optimization problems via interval branch-and-bound methods," Computational Optimization and Applications, Springer, vol. 42(3), pages 393-419, April.
    9. Glover, Fred & Sueyoshi, Toshiyuki, 2009. "Contributions of Professor William W. Cooper in Operations Research and Management Science," European Journal of Operational Research, Elsevier, vol. 197(1), pages 1-16, August.
    10. Mou, Shandong & Robb, David J. & DeHoratius, Nicole, 2018. "Retail store operations: Literature review and research directions," European Journal of Operational Research, Elsevier, vol. 265(2), pages 399-422.
    11. Opacic, Luke & Sowlati, Taraneh & Mobini, Mahdi, 2018. "Design and development of a simulation-based decision support tool to improve the production process at an engineered wood products mill," International Journal of Production Economics, Elsevier, vol. 199(C), pages 209-219.
    12. Fırat, M. & Briskorn, D. & Laugier, A., 2016. "A Branch-and-Price algorithm for stable workforce assignments with hierarchical skills," European Journal of Operational Research, Elsevier, vol. 251(2), pages 676-685.
    13. Symitsi, Efthymia & Stamolampros, Panagiotis & Daskalakis, George & Korfiatis, Nikolaos, 2021. "The informational value of employee online reviews," European Journal of Operational Research, Elsevier, vol. 288(2), pages 605-619.
    14. Wang, Xiong & Ferreira, Fernando A.F. & Chang, Ching-Ter, 2022. "Multi-objective competency-based approach to project scheduling and staff assignment: Case study of an internal audit project," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    15. Min Wang & Guoshan Liu & Xinyu Lin, 2022. "Dynamic Optimization of the Multi-Skilled Resource-Constrained Project Scheduling Problem with Uncertainty in Resource Availability," Mathematics, MDPI, vol. 10(17), pages 1-20, August.
    16. Lotfi Hidri & Achraf Gazdar & Mohammed M. Mabkhot, 2020. "Optimized Procedure to Schedule Physicians in an Intensive Care Unit: A Case Study," Mathematics, MDPI, vol. 8(11), pages 1-24, November.
    17. Wolbeck, Lena Antonia, 2019. "Fairness aspects in personnel scheduling," Discussion Papers 2019/16, Free University Berlin, School of Business & Economics.
    18. Bastian, Nathaniel D. & Lunday, Brian J. & Fisher, Christopher B. & Hall, Andrew O., 2020. "Models and methods for workforce planning under uncertainty: Optimizing U.S. Army cyber branch readiness and manning," Omega, Elsevier, vol. 92(C).
    19. Doumic, Marie & Perthame, Benoît & Ribes, Edouard & Salort, Delphine & Toubiana, Nathan, 2017. "Toward an integrated workforce planning framework using structured equations," European Journal of Operational Research, Elsevier, vol. 262(1), pages 217-230.
    20. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opmare:v:13:y:2020:i:3:d:10.1007_s12063-020-00165-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.