Machinery Selection Modeling: Incorporation of Weather Variability

Abdulla B. Danok, Bruce McCarl and T. Kelley White

American Journal of Agricultural Economics, 1980, vol. 62, issue 4, 700-708

Abstract: An alternative analytical approach to the important and complex machinery selection problem is proposed. A mathematical programming model is developed which embodies (a) the integer nature of machinery decisions, (b) the stochastic nature of weather, (c) the joint selection of machinery and crop plans, and (d) selection among machinery sets rather than among individual machines. Optimal machinery and crop plans are determined for selected weather probability levels. The robustness of machinery sets over a range of weather conditions is evaluated by subjecting the distributions of outcomes for alternative machinery sets to stochastic dominance criteria. Bias of good-field-day distributions is also discussed.

Date: 1980
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