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Determination Of Strategy For Harvesting Burley Tobacco, Yasuhiko Miyake, Larry G. Wells, George A. Duncan, Jimmie Rankin

Biosystems and Agricultural Engineering Faculty Publications

The decision-making process associated with the scheduling of burley tobacco harvesting operations was formulated as a multi-stage decision process, and solved using a procedure called dynamic programming. The solution of a stochastic dynamic programming model provides a set of optimal decision rules, that is, a strategy. When certain user-specified parameters are provided, the decision model provides information concerning the optimal date to start harvesting, the optimal number of hours to harvest on each day, the optimal date to introduce hired labor, and the optimal number of workers which should be hired.

The solution of the dynamic programming model makes it …