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A decision support system and a mathematical model for strategic workforce planning in consultancies

Author

Listed:
  • N. Llort

    (Universitat Politecnica de Catalunya, BarcelonaTech)

  • A. Lusa

    (Universitat Politecnica de Catalunya, BarcelonaTech)

  • C. Martínez-Costa

    (Universitat Politecnica de Catalunya, BarcelonaTech)

  • M. Mateo

    (Universitat Politecnica de Catalunya, BarcelonaTech)

Abstract

Strategic staff planning in consultancies is a major problem that directly affects the firm’s performance and capacity for dealing with projects appropriately. Furthermore, the decisions taken now will have long term consequences, because consultants are highly qualified workers who need very long learning periods to achieve enough expertise. In other words, the size and composition of the future workforce depends on the decisions taken today. It is important to underline that the system anticipates future capacity adjustment in response to forecasted demand requirements; therefore, it is flexible to plan the workforce in different scenarios and time horizons. This paper proposes a decision support system based on a mathematical optimization model for solving strategic staff planning, taking the company’s strategies, policies and objectives into account and optimizing both the costs and the staff composition. The tool is tested by applying it in an office belonging to a multinational consulting firm.

Suggested Citation

  • N. Llort & A. Lusa & C. Martínez-Costa & M. Mateo, 2019. "A decision support system and a mathematical model for strategic workforce planning in consultancies," Flexible Services and Manufacturing Journal, Springer, vol. 31(2), pages 497-523, June.
    • Handle: RePEc:spr:flsman:v:31:y:2019:i:2:d:10.1007_s10696-018-9321-2
    DOI: 10.1007/s10696-018-9321-2
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    References listed on IDEAS

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    1. Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), 2015. "Liss 2013," Springer Books, Springer, number 978-3-642-40660-7, December.
    2. Corominas, Albert & Lusa, Amaia & Olivella, Jordi, 2012. "A detailed workforce planning model including non-linear dependence of capacity on the size of the staff and cash management," European Journal of Operational Research, Elsevier, vol. 216(2), pages 445-458.
    3. Martínez-Costa, Carme & Mas-Machuca, Marta & Benedito, Ernest & Corominas, Albert, 2014. "A review of mathematical programming models for strategic capacity planning in manufacturing," International Journal of Production Economics, Elsevier, vol. 153(C), pages 66-85.
    4. Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), 2015. "Liss 2014," Springer Books, Springer, edition 127, number 978-3-662-43871-8, December.
    5. de la Torre, R. & Lusa, A. & Mateo, M., 2016. "A MILP model for the long term academic staff size and composition planning in public universities," Omega, Elsevier, vol. 63(C), pages 1-11.
    6. Banu Sungur & Cemal Özgüven & Yasemin Kariper, 2017. "Shift scheduling with break windows, ideal break periods, and ideal waiting times," Flexible Services and Manufacturing Journal, Springer, vol. 29(2), pages 203-222, June.
    7. 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.
    8. Defraeye, Mieke & Van Nieuwenhuyse, Inneke, 2016. "Staffing and scheduling under nonstationary demand for service: A literature review," Omega, Elsevier, vol. 58(C), pages 4-25.
    9. Hyun-Soo Ahn & Rhonda Righter & J. Shanthikumar, 2005. "Staffing decisions for heterogeneous workers with turnover," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 62(3), pages 499-514, December.
    10. 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.
    11. Lucie Noury & Sébastien Gand & Jean-Claude Sardas, 2016. "Tackling the work-life balance challenge in professional service firms: The impact of projects, organizing, and service characteristics," Post-Print hal-01503283, HAL.
    12. Creplet, F. & Dupouet, O. & Kern, F. & Mehmanpazir, B. & Munier, F., 2001. "Consultants and experts in management consulting firms," Research Policy, Elsevier, vol. 30(9), pages 1517-1535, December.
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    Cited by:

    1. Pieter Smet & Annelies Lejon & Greet Vanden Berghe, 2021. "Demand smoothing in shift design," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 457-484, June.
    2. Jose Pedro Garcia-Sabater & Julien Maheut & Angel Ruiz & Julio Juan Garcia-Sabater, 2020. "A Framework for Capacity and Operations Planning in Services Organizations Employing Workers with Intellectual Disabilities," Sustainability, MDPI, vol. 12(22), pages 1-17, November.

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