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Modelling heterogeneity in a manpower system: a review

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  • F.I. Ugwuowo
  • S.I. McClean

Abstract

Manpower planning is an essential methodology for business and industry; it allows managers to make more efficient use of human resources. However, human behaviour is highly variable and it is therefore essential for manpower planning that population heterogeneity is successfully modelled. In this paper we review methods of incorporating population heterogeneity into manpower modelling. The analysis of differentials in a manpower system is emphasized since they are a source of aggregation error in stochastic models. Two strategies have been stressed, the use of observable sources of heterogeneity as they affect wastage, and the latent sources which cannot be identified precisely but are known to affect the key parameters of most models. Copyright © 2000 John Wiley & Sons, Ltd.

Suggested Citation

  • F.I. Ugwuowo & S.I. McClean, 2000. "Modelling heterogeneity in a manpower system: a review," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 16(2), pages 99-110, April.
    • Handle: RePEc:wly:apsmbi:v:16:y:2000:i:2:p:99-110
    DOI: 10.1002/1526-4025(200004/06)16:23.0.CO;2-3
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    Citations

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    Cited by:

    1. Dimitriou, V.A. & Georgiou, A.C. & Tsantas, N., 2013. "The multivariate non-homogeneous Markov manpower system in a departmental mobility framework," European Journal of Operational Research, Elsevier, vol. 228(1), pages 112-121.
    2. Tim De Feyter & Marie-Anne Guerry & Komarudin, 2017. "Optimizing cost-effectiveness in a stochastic Markov manpower planning system under control by recruitment," Annals of Operations Research, Springer, vol. 253(1), pages 117-131, June.
    3. A Filinkov & M Richmond & R Nicholson & M Alshansky & J Stewien, 2011. "Modelling personnel sustainability: a tool for military force structure analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(8), pages 1485-1497, August.
    4. Guerry, Marie-Anne, 2011. "Hidden heterogeneity in manpower systems: A Markov-switching model approach," European Journal of Operational Research, Elsevier, vol. 210(1), pages 106-113, April.
    5. O. Zeynep Akşin, 2007. "On valuing appreciating human assets in services," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(2), pages 221-235, March.
    6. Fernandes, Rui & Gouveia, Borges & Pinho, Carlos, 2013. "A real options approach to labour shifts planning under different service level targets," European Journal of Operational Research, Elsevier, vol. 231(1), pages 182-189.
    7. P.-C. G. Vassiliou, 2020. "Laws of Large Numbers for Non-Homogeneous Markov Systems," Methodology and Computing in Applied Probability, Springer, vol. 22(4), pages 1631-1658, December.
    8. 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.
    9. Andreas C. Georgiou & Alexandra Papadopoulou & Pavlos Kolias & Haris Palikrousis & Evanthia Farmakioti, 2021. "On State Occupancies, First Passage Times and Duration in Non-Homogeneous Semi-Markov Chains," Mathematics, MDPI, vol. 9(15), pages 1-17, July.
    10. P.-C. G. Vassiliou & T. P. Moysiadis, 2010. "$\boldsymbol{\mathcal{G}-}$ Inhomogeneous Markov Systems of High Order," Methodology and Computing in Applied Probability, Springer, vol. 12(2), pages 271-292, June.

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