Forecasting and Recruitment in Graded Manpower Systems

  • J. A. E. E. van Nunen
  • J. Wessels
Part of the NATO Conference Series book series (NATOCS, volume 7)


In this paper a generalized Markov model is introduced to describe the dynamic behaviour of an individual employee in a graded Manpower system. Characteristics like the employee’s grade, his educational level, his age and the time spent in his actual grade, can be incorporated in the Markov model. On this Markov model forecasting and recruitment scheduling procedures are based. The procedures enable us to study for example the consequences of planned promotion and recruitment policies on futural grade occupancies, age distribution etc. Moreover recruitment requested for satisfying futural grade occupancies can be determined.


Markov Chain Model Individual Employee Linear Programming Approach Promotion Policy Grade Structure 
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  1. [1]
    Bartholomew, D.J., Stochastic models for social processes. 2nd. edition 1973, John Wiley and Sons, New York.Google Scholar
  2. [2]
    Charnes, A., W.W. Cooper, R.J. Niehaus and D. Sholtz, A model for civilian manpower management and planning in the U.S. Navy, pp. 247–263 in [4].Google Scholar
  3. [3]
    Forbes, A.F., The Kent model (1975), Report Institute of Manpower Studies, London.Google Scholar
  4. [4]
    Smith, A.R. (ed.), Models for manpower systems, 1971, English University Press, London.Google Scholar
  5. [5]
    Wessels, J. and J.A.E.E. van Nunen, FORMASY Forecasting and Recruitment in MAnpower SYstems, Statistica Neerlandica 30 (1976), pp. 173–193.CrossRefGoogle Scholar

Copyright information

© Plenum Press, New York 1978

Authors and Affiliations

  • J. A. E. E. van Nunen
    • 1
  • J. Wessels
    • 2
  1. 1.Graduate School of ManagementDelftThe Netherlands
  2. 2.University of TechnologyEindhovenThe Netherlands

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