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Semi-Markov Models For Manpower Planning

S. McClean
Published 1986 · Computer Science

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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).



This paper is referenced by
Fuzzy Reliability Measures of Fuzzy Probabilistic Semi-Markov Model
B. Praba (2009)
10.1002/(SICI)1526-4025(200001/03)16:1<73::AID-ASMB383>3.0.CO;2-#
The closed continuous-time homogeneous semi-Markov system as a non-Newtonian fluid
G. Tsaklidis (2000)
10.1080/17509653.2010.10671122
Salary lines forecasting by means of generalized binomial processes
Fulvio Gismondi (2010)
10.1007/S11009-007-9027-5
Some Reward Paths in Semi-Markov Models with Stochastic Selection of the Transition Probabilities
A. A. Papadopoulou (2007)
10.1142/9789812709691_0027
On a numerical approximation method of evaluating the interval transition probabilities of semi-Markov models
Dimitrios Bitziadis (2007)
10.1081/STA-120028690
Asymptotic Behavior of First Passage Probabilities in the Perturbed Non-homogeneous Semi-Markov Systems
P.-C. G. Vassiliou (2004)
DISCRETE-TIME HOMOGENEOUS MARKOV SYSTEMS
I. Kipouridis (2001)
10.1081/STA-120028691
Economic Rewards in Non-homogeneous Semi-Markov Systems
A. A. Papadopoulou (2004)
Semi-Markov processes in labor
Narela Spaseski (2017)
10.1142/9789812709691_0025
Discrete time semi-Markov models with fuzzy state space
Alexandra Papadopoulou (2007)
10.1239/JAP/996986749
The size order of the state vector of discrete-time homogeneous Markov systems
I. Kipouridis (2001)
10.1007/978-1-4613-3288-6_15
Continuous Time Non Homogeneous Semi-Markov Systems
A. A. Papadopoulou (1999)
10.1007/978-1-4613-3288-6_16
The Perturbed Non-Homogeneous Semi-Markov System
Panagiotis C. G. Vassiliou (1999)
10.1080/03610926.2013.789111
On the Variances and Convariances of the Duration State Sizes of Semi-Markov Systems
Alexandra K. Papadopoulou (2014)
10.1051/PS/2016025
Step semi-Markov models and application to manpower management
Vlad Stefan Barbu (2016)
10.1080/03610926.2010.517356
The Augmented Semi-Markov System in Continuous Time
Vasileios A. Dimitriou (2012)
10.1002/1526-4025(200004/06)16:2<99::AID-ASMB385>3.0.CO;2-3
Modelling heterogeneity in a manpower system: a review
F. Ugwuowo (2000)
10.12988/AMS.2013.34237
A study on fuzzy reliability measures
Khairunisak Abdul Razak (2013)
10.1239/JAP/1005091028
The size order of the state vector of a continuous-time homogeneous Markov system with fixed size
I. Kipouridis (2001)
10.1239/AAP/1143936146
An inhomogeneous semi-Markov model for the term structure of credit risk spreads
A. Vasileiou (2006)
10.1007/978-1-4613-3288-6_24
The stress tensor of the closed semi-Markov system. Energy and entropy
G. Tsaklidis (1999)
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