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A bivariate model for Markov manpower planning systems

Raghavendra, BG (1991) A bivariate model for Markov manpower planning systems. In: Journal of the Operational Research Society, 42 (7). pp. 565-570.

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Official URL: http://www.jstor.org/stable/2583640


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 the 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.

Item Type: Journal Article
Publication: Journal of the Operational Research Society
Publisher: Palgrave Macmillan Ltd
Additional Information: Copyright of this article belongs to Palgrave Macmillan Ltd
Keywords: Markov models;manpower planning;bivariate distribution;length of service;performance rating
Department/Centre: Division of Interdisciplinary Sciences > Management Studies
Date Deposited: 27 Jun 2007
Last Modified: 07 Dec 2010 07:42
URI: http://eprints.iisc.ac.in/id/eprint/11279

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