Forecasting and recruitment in graded manpower systems

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