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Modeling mixed push and pull promotion flows in Manpower Planning

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  • Tim Feyter

Abstract

Manpower Planning is a useful tool for human resource management in large organizations. Classical Manpower Planning models are analytical time-discrete push and pull models. Push models are characterized by the same promotion and wastage probabilities for people within the same group. This assumption is suitable in organizations where for instance promotions are used for reasons of personnel motivation or employees are promoted after succeeding in an exam. In many organizations, people are only promoted when there are vacancies at other levels. In those cases, pull models can be used. Pull models only assume known wastage probabilities. In practice, both assumptions may occur simultaneously. In this paper, a mixed push-pull model is developed for organizations in which both types of flows are considered. Copyright Springer Science+Business Media, LLC 2007

Suggested Citation

  • Tim Feyter, 2007. "Modeling mixed push and pull promotion flows in Manpower Planning," Annals of Operations Research, Springer, vol. 155(1), pages 25-39, November.
  • Handle: RePEc:spr:annopr:v:155:y:2007:i:1:p:25-39:10.1007/s10479-007-0205-1
    DOI: 10.1007/s10479-007-0205-1
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    1. Georgiou, A. C. & Vassiliou, P. -C. G., 1997. "Cost models in nonhomogeneous Markov systems," European Journal of Operational Research, Elsevier, vol. 100(1), pages 81-96, July.
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    Cited by:

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    3. 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.
    4. Guy C. Huntsinger & Roger Chapman Burk & Timothy E. Trainor, 2012. "The US Army Projects the Effect of Merit Pay on Payroll Growth," Interfaces, INFORMS, vol. 42(4), pages 395-405, August.
    5. 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.
    6. E. O. Ossai & M. S. Madukaife & A. U. Udom & U. C. Nduka & T. E. Ugah, 2023. "Effects of Prioritized Input on Human Resource Control in Departmentalized Markov Manpower Framework," Methodology and Computing in Applied Probability, Springer, vol. 25(1), pages 1-19, March.

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