Efficient computation and long range optimization applications using a two-characteristic Markov-type manpower flow model
By: by Kneale T. Marshall
Contributors: Naval Postgraduate School (U.S.)
Publisher: Naval Postgraduate School
Published: 1977
Place of publication: Monterey, Calif
Language: eng
Number of pages: 18
Subjects: Mathematical models; Manpower planning; Personnel management; Markov processes
Description: In [1] the author has compared and contrasted Markov and longitudinal manpower flow models.  The Markov model requires relatively little data and has been widely analyzed (see [2] and [3]).  The longitudinal model incorporates more realistic personnel flows, but requires extensive data which is not always available.  In [4] Hayne and Marshall analyze a two-characteristic Markov model which can be viewed as a hybrid of the Markov and longitudinal models.  The purpose of this paper is to show how efficient  computational methods can be used with the two-characteristic model by exploiting the special structure of its underlying matrix.  These methods make possible the efficient use of this basic flow model in optimization models similar to those described in Chapter 5 of [3]. (Author)
Notes: Title from cover.

"Prepared for: Headquarters Marine Corps, Code MPI20 Washington, D.C. 20380"--Cover.

"May 1977"--Cover.

"NPS-55-77-23"--Cover.

Author(s) subject terms: Manpower, personnel optimization, Markov.

Includes bibliographical references (p. 18)

"Approved for public release; distribution unlimited"--Cover.

Technical report; 1977.