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Toward an integrated workforce planning framework using structured equations

Author

Listed:
  • Marie Doumic

    (MAMBA - Modelling and Analysis for Medical and Biological Applications - LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique - Inria de Paris - Inria - Institut National de Recherche en Informatique et en Automatique, LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique)

  • Benoît Perthame

    (MAMBA - Modelling and Analysis for Medical and Biological Applications - LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique - Inria de Paris - Inria - Institut National de Recherche en Informatique et en Automatique, LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique)

  • Edouard Ribes

    (IRSEM - Institut de recherche stratégique de l'Ecole militaire - Ministère des armées)

  • Delphine Salort

    (UPMC - Université Pierre et Marie Curie - Paris 6 - UFR de Médecine Pierre et Marie Curie - UPMC - Université Pierre et Marie Curie - Paris 6)

  • Nathan Toubiana

    (LJLL - Laboratoire Jacques-Louis Lions - UPMC - Université Pierre et Marie Curie - Paris 6 - UPD7 - Université Paris Diderot - Paris 7 - CNRS - Centre National de la Recherche Scientifique)

Abstract

Strategic Workforce Planning is a company process providing best in class, economically sound, workforce management policies and goals. Despite the abundance of literature on the subject, this is a notorious challenge in terms of implementation. Reasons span from the youth of the field itself to broader data integration concerns that arise from gathering information from financial, human resource and business excellence systems. This paper aims at setting the first stones to a simple yet robust quantitative framework for Strategic Workforce Planning exercises. First a method based on structured equations is detailed. It is then used to answer two main workforce related questions: how to optimally hire to keep labor costs flat? How to build an experience constrained workforce at a minimal cost?

Suggested Citation

  • Marie Doumic & Benoît Perthame & Edouard Ribes & Delphine Salort & Nathan Toubiana, 2017. "Toward an integrated workforce planning framework using structured equations," Post-Print hal-01343368, HAL.
    • Handle: RePEc:hal:journl:hal-01343368
    DOI: 10.1016/j.ejor.2017.03.076
    Note: View the original document on HAL open archive server: https://inria.hal.science/hal-01343368v2
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    References listed on IDEAS

    as
    1. 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.
    2. Anderson, Edward G., 2001. "Managing the impact of high market growth and learning on knowledge worker productivity and service quality," European Journal of Operational Research, Elsevier, vol. 134(3), pages 508-524, November.
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    4. Song, Haiqing & Huang, Huei-Chuen, 2008. "A successive convex approximation method for multistage workforce capacity planning problem with turnover," European Journal of Operational Research, Elsevier, vol. 188(1), pages 29-48, July.
    5. A. C. Georgiou & N. Tsantas, 2002. "Modelling recruitment training in mathematical human resource planning," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 18(1), pages 53-74, January.
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    Cited by:

    1. Edouard Ribes, 2020. "Organizational sustainability and career frameworks in professional services firms," Economics Bulletin, AccessEcon, vol. 40(1), pages 880-889.
    2. Edouard Ribes & Karim Touahri & Benoît Perthame, 2017. "Employee turnover prediction and retention policies design: a case study," Working Papers hal-01556746, HAL.
    3. Edouard Ribes, 2018. "Growth patterns of US professional services firms," Working Papers hal-01762381, HAL.

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