Machinery Selection Modeling: Incorporation of Weather Variability
提出一种数学规划模型，将天气随机性、机械整数决策和作物计划联合选择纳入机械选择问题，并用随机占优准则评估机械集在不同天气下的稳健性。
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.