MANPOWER ANALYSIS USING NON-STATIONARY POISSON PROCESS UNDER GRADED SYSTEM

Abstract

Manpower analysis is most important for any organization to utilize the resources most effectively.  In this article we developed and analyzed a stochastic model for two graded system with the consideration that the recruitment, promotion and leaving processes follow Non-Homogeneous Poisson processes.  The Non-Homogeneous Poisson processes closely matches with the statistical characteristics are the recruitment, promotion and leaving processes for organization such as corporates and private organizations where these processes are sensitive towards time using the joint p.g.f the model characteristics are derived and analyzed.  It is observed that the measures of the HR system in the organization such as expected number of employees in each grade, the variability of the grade size distribution, the C.V in each grade are sensitive to the parameters of the recruitment, promotion and leaving.  This model also includes the stationary model as a particular case for specific values of the parameter.  This model is much useful for HR analytics in predicting the human resource management performance and developing the policies for optimal utilization of manpower.