The Forecasting of Future Inventory and the Optimization of Training Requirements within the Airborne Community.
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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In an era of modernization, new weapons systems generate new manpower requirements for the airborne community within the United States Army. The problem of forecasting yearly requirements and inventories has become increasingly complex. This thesis formulates a methodology which applies the Markov Theory to manpower planning in order to forecast yearly inventories. It also discusses the strategy of dynamic programming in determining the optimal numbers of soldiers with certain skill levels and job types who should enter into each type of special training. Further, this methodology is applied to the Career Management Fields of 11 and 13 in forecasting inventories for fiscal year 1985 and 1986 and in determining the optimal numbers of soldiers to enter into each type of special training within the airborne community. Author
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- Humanities and History