Analysis of some two-characteristic Markov-type manpower flow models with retraining applications.
Loading...
Authors
Hayne, William J.
Subjects
NA
manpower planning models
manpower flow models
Markov models
retraining models
hierarchical organizations
manpower planning models
manpower flow models
Markov models
retraining models
hierarchical organizations
Advisors
Marshall, K.T.
Date of Issue
1974-06
Date
June 1974
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
A discrete state, discrete time Markov-type manpower flow
model having a two-dimensional state space (i.e., a two
characteristic model) is analyzed. The probabilistic properties
of the model and the equations of stocks and flows are
developed. A new method of representing the stocks as a sum
of steady-state and transient components is presented. Two
specific applications of the model to multi-grade hierarchical
systems in which the dimensions of the state space are (grade,
length of service) and (grade, time in grade) are analyzed in
detail. The problem of combining states across the second
dimension of the state space is studied and methods are
derived for the (usual) case where the states are not lumpable.
Finally, some applications of the model with state space
(grade, skill group) to retraining problems between various
skill categories are presented.
Type
Thesis
Description
Series/Report No
Department
Operations Research and Administrative Sciences
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.