This thesis presents a linear programming approach which will approximate a stochastic problem (Markov Chain) for formulation of a proper maintenance program to minimize the impact of a high rate of turnover in skilled personnels.
This thesis considers scouting and training as alternative courses of actions to stop the turnover caused by transfers to better paying jobs or to minimize its effects.
The objective function of this linear programming is to minimize the total cost which includes ordinary labor cost, hiring cost, firing cost, resigning cost and training cost.
The constraints are derived from labor demand of each period and labor balance equations (input-output balance).
A numerical example of this model is presented for illustrating the applicability of this model to manpower planning.
Limitations of this models are :
1. Following factors have not been considered in this model
(a) technical breakthrough
(b) abnormal movements of labor in industry, such as strikes
(c) human behavior not mentioned in the formulation.
2. Only expected values are considered.
3. Reliability of forecasted data has a great effect on the results of system/model's output and results.
