Steady state distributions for manpower models under conditions of growth

Markov Chain models have been used to forecast stocks in a wide range of manpower systems. Studies have been done in many areas such as education planning, hospital planning, manufacturing, private research and development, a women's military unit, the civilian workforce supporting the U.S. Navy and a state police organization. This study looks at such systems under conditions of change and develops the equations that describe the steady state distribution of personnel. The conditions of change include systems where recruitment is constant, increasing (decreasing) additively, or increasing (decreasing) multiplicatively and systems where the change is total system size are additively or multiplicatively increasing (decreasing). Numerical examples utilizing these models are provided, along with a computer program of the formulas written in the language APL.

Department dc:contributor.department

Operations Research

Year dc:date.issued

1985

Author dc:creator

• Dupuy, Nan B.

Advisor dc:contributor.advisor

• Milch, Paul R.

Statement dc: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.

Language dc:language.iso

en_US

Handle dc:identifier.uri

https://hdl.handle.net/10945/21558

OAI identifier oai:identifier

oai:calhoun.nps.edu:10945/21558