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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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 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 |
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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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