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首页> 外文期刊>International Journal of Advancements in Technology >A Productivity Outlook for a Multi-Criteria Animal Feed Formulation Problem: A Case Study of Nigerian Feed Mill Industry
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A Productivity Outlook for a Multi-Criteria Animal Feed Formulation Problem: A Case Study of Nigerian Feed Mill Industry

机译:多标准动物饲料配方问题的生产力前景:以尼日利亚饲料加工业为例

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Over-formulation or under-formulation of animal feed is a major challenge in a feed milling operation .While overfeeding unnecessarily increases the feed cost; underfeeding on the other hand reduces the performance of the animal and the overall productivity of the feed milling operation. This study therefore addressed how a multi-criteria feed formulation affects the productivity of feed milling business with the use of mathematical programming in bringing about an optimal solution that is both economical and brings out the best energy yield. The solution procedure employed in this study is an iterative multi-objective optimization method. Here the optimization of the metabolizable energy and ration cost is solved iteratively using a non-differentiable interactive multi-objective bundle-based optimization method which will then result into different alternative optimal formulations. These alternatives were then evaluated using the multi-factored productivity techniques to determine the interactions between each of the optimal solutions. The performance of the four alternative optimal solutions (C ingredient) generated were factored into the productivity model together with other input factors such as the cost of fuel (C fuel),cost of labour (C labour) and cost of packaging (C packaging). The productivity index estimated from the four alternative optimal formulations includes 1.13, 1.144, 1.06, and 0.96 respectively. This shows that the optimal feed formulation generated in alternative 2 produces the highest profit (14.35%) and hence highest productivity index (1.144). Hence, the multi-factored productivity index is therefore a measure of performance in a feed mill industry when considering the impact of feed formulation on the overall cost of production in a feed mill industry.
机译:动物饲料的过量配制或配制不足是饲料研磨操作中的主要挑战。过量喂养不必要地增加了饲料成本;另一方面,喂食不足会降低动物的性能并降低饲料研磨操作的整体生产率。因此,本研究解决了多标准饲料配方如何通过数学程序设计来实现既经济又能产生最佳能源产量的最佳解决方案,从而如何影响饲料研磨企业的生产率。本研究中使用的求解过程是一种迭代的多目标优化方法。在此,使用不可微的交互式多目标捆绑优化方法迭代地解决可代谢能量和配给成本的优化问题,然后将得出不同的替代最优公式。然后使用多要素生产率技术评估这些替代方案,以确定每个最佳解决方案之间的相互作用。生产力模型中将生成的四个替代最优解决方案(C成分)的性能与其他输入因素一起考虑,例如燃料成本(C燃料),人工成本(C人工)和包装成本(C包装) 。根据四种替代的最佳公式估算的生产率指数分别包括1.13、1.144、1.06和0.96。这表明,备选方案2中生成的最佳饲料配方产生最高的利润(14.35%),从而产生最高的生产率指数(1.144)。因此,当考虑饲料配方对饲料厂行业总生产成本的影响时,多元生产率指数是衡量饲料厂行业绩效的指标。

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