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A Bivariate Model for Markov Manpower Planning Systems
B. G. Raghavendra
The Journal of the Operational Research Society
Vol. 42, No. 7 (Jul., 1991), pp. 565-570
Stable URL: http://www.jstor.org/stable/2583640
Page Count: 6
You can always find the topics here!Topics: Seniority, Human resources, Staffing, Markov models, Grade 1, Transition probabilities, Operations research, Markov chains
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Markov models are being extensively used for analysis of manpower planning systems. Most of these models concentrate either on estimating the gradewise distribution of future manpower structure, given the existing structure and promotion policies, or on deriving policies towards promotion, given the required future structure. However, in many large organizations, agreements between employee unions and management result in the framing of policies towards promotion based either on seniority (length of service in the grade) or on performance (as in the case of `high fliers'). In this paper these two criteria are considered in a bivariate distribution framework. The transition probabilities for promotion obtained from the Markov model are further translated into required seniority and performance rating. The procedure is illustrated through an example.
The Journal of the Operational Research Society © 1991 Operational Research Society