尼日利亚家禽养殖场的饲料配方问题:数学规划方法

V. Oladokun, A. Johnson
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引用次数: 40

摘要

家禽业在国民经济中占有重要地位;它是一个受小农欢迎的行业,对GDP和创造就业有巨大的贡献。家禽饲料成本占鸡蛋和肉鸡生产总成本的70%以上,因此,可持续发展的家禽业需要有效的饲料配方实践。然而,许多尼日利亚家禽养殖户采用低效的方法,如经验法则、经验和直觉来处理饲料配方问题。本研究的目的是利用当地可获得的饲料成分,为尼日利亚家禽业开发一种优化饲料配方模型。查阅了相关文献,以收集有关行业普遍做法、饲料成分的营养含量和可获得性及其普遍市场价格的信息。定义了决策变量、目标函数和问题约束,建立了饲料配方问题的数学模型,并利用典型商业养殖场的数据进行了参数化。得到了模型解和后最优性分析结果,并与实例农场的实际情况进行了比较。确定了十三(13)个决策变量和十四(14)个约束。与农场现有的方法相比,线性规划模型的最优解使饲料配制成本降低了9%。后最优性分析也对饲料投入成本变化的影响提供了有用的见解。该模式将对尼日利亚的家禽养殖场管理非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feed formulation problem in Nigerian poultry farms: a mathematical programming approach
The poultry industry has a significant effect on national economy; it is a popular industry for the small holders with tremendous contribution to GDP and employment creation. Poultry feed cost represents over 70% of the total cost of egg and broiler production, consequently efficient feed formulation practice is required for a sustainable poultry industry. Many Nigerian poultry farmers, however, employ inefficient methods like rule of thumb, experiences, and intuition to handle feed formulation problem. The aim of this study was to develop an optimization feed formulation model, using locally available feed ingredients, for the Nigerian poultry industry. Relevant literature was consulted to gather information on the practices prevalent in the industry, nutrient contents and availability of feed ingredients and their prevalent market prices. The decision variables, objective function and problem constraints were defined and a mathematical model of the feed formulation problem was developed and parameterized using data from a typical commercial farm. Model solution and post-optimality analysis results were obtained and compared with existing practice of the case study farm. Thirteen (13) decision variables and fourteen (14) constraints were identified. The optimal solution of the linear programming model gives 9% reduction in feed formulation costs compared to the existing method on the farm. Post optimality analysis also gave useful insight into the impact of changes in costs of feed inputs. The model will be very useful in poultry farm management in Nigeria.
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