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Optimizing marginal rates of return

机译:优化返回边缘率

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Much attention has been made in recent years regarding the degree of variation in growth rates which occurs in individual swine which are farrowed weekly groups in modern production systems. Systems of production which produce weekly flows of animalsfrom the same genetic background find that by the time the animals are ready to market, the weight distribution from the smallest to the largest animals can often have a range of up to 100 lbs. Typically, sorters are employed to market the animals in asuniform a weight group as possible by assembling the number which fill a semi-load. The goal is typically to create an average weight which optimizes the revenue from the buying program of the slaughterhouse to which the animals are contracted or marketed. After the first load of animals is removed for marketing, the remainder is allowed to continue until sufficient animals are available at the targeted average weight to fill the semi again, which attempts to ensure the greatest total revenue for the group. Since the finishing barn is gradually being emptied by this marketing strategy, the overhead associated with the building cost in all-in, all-out systems, which may be a variable cost (as in rental charge per space per day), is allocated to the remaining animals and eventually becomes so burdensome that it results in the necessity to dump the remainder, even though the animals have not achieved ideal marketing weights. In some cases, insufficient building space is available during certain seasons of year, such as the late spring and summer months when growth slows, to achieve target weights before the building must be emptied to accommodate the next group. It is observed that producers often target the maximum revenue from the buying scheme to guide the timing of marketings, which often means measuring only sort loss as a guide to select optimal average marketing weights. Others may attempt to calculate the profit-maximizing weight as a target but typically do so on the basis on an individual animal since only the average of the average daily feed intake (ADFI) and feed efficiency (FE) is available from records upon which to conduct this estimation. We can surmise that every animal has a unique ADFI and FE, and therefore a unique profit maximizing final weight but it is impractical with current technology to measure, and since animals are not marketed individually, these average metrics are employed. Various models have been undertaken to estimate optimal marketing strategies for larger, sophisticated and complex swine production processes.
机译:近年来,近年来近年来关于在现代生产系统中进行每周群体的个体猪中发生的生长率的变化程度。产生每周流动的生产系统从同一遗传背景发现,当动物准备上市时,从最小到最大动物的重量分布通常可以具有高达100磅的范围。通常,通过组装填充半负载的数量,使用分选器以使asuniform的动物在谐物中。目标通常是营造平均重量,该重量优化了动物收缩或销售的屠宰场的购买计划的收入。在营销中排出第一次载荷后,剩余的被允许继续,直到有针对性的平均重量可获得足够的动物以再次填充半,这试图确保本集团最大的总收入。由于完成谷仓逐渐被这种营销策略逐步清空,因此与全面的全展系统中的建筑成本相关的开销,这可能是可变成本的(如每天每天的每个空间的租金)分配给剩下的动物最终变得如此繁重,即它导致倾倒余生的必要性,即使这些动物没有实现理想的营销权重。在某些情况下,建筑空间不足,在一年中的某些季节,如春季和夏季的时间,在增长缓慢时,在建筑物必须清空之前实现目标权重以容纳下一个组。据观察,生产者经常针对购买方案的最大收入来指导营销的时机,这通常意味着只测量单独的排序损失作为选择最佳平均营销权重的指南。其他人可能会尝试计算作为目标的利润最大化的重量,但通常在单个动物的基础上这样做,因为只有平均每日进料摄入量(ADFI)和饲料效率(FE)的平均值可从中获取进行这一估计。我们可以推动每只动物都有独特的ADFI和FE,因此独特的利润最大化最终重量,但目前的技术是不切实际的,因为动物没有单独销售,因此采用这些平均指标。已经开展了各种模型,以估算更大,复杂和复杂的猪生产过程的最佳营销策略。

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