Semi-Markov models for manpower planning
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In this paper we consider the use of semi-Markov models for manpower planning. In general, the system consists of a number of transient states, or grades, and the state of having left, which is usually absorbing. The individual progresses from one state to another as he is promoted through the company hierarchy. For example, in a university the states could be lecturer, senior lecturer, professor, and left as described by Young and Almond (1961). Alternatively the states may correspond to degrees of committment to the firm (e.g., Herbst, 1963).
KeywordsNursing Service Failure Time Data Prediction Period Markov Renewal Process Manpower Planning
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