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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
DOI: 10.2307/2583640
Stable URL: http://www.jstor.org/stable/2583640
Page Count: 6
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A Bivariate Model for Markov Manpower Planning Systems
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Abstract

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.

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