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首页> 外文期刊>Livestock Science >Modeling tactical planning decisions through a linear optimization model in sow farms.
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Modeling tactical planning decisions through a linear optimization model in sow farms.

机译:通过线性优化模型在母猪场中对战术规划决策进行建模。

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This paper deals with tactical planning decisions for breeding farms producing piglets through a linear optimization model. A medium-term planning horizon based on weekly periods is considered. The proposed model maximizes the profit of the farm and takes into account sow herd dynamics, housing facilities, reproduction management, available stocks and a target quota of a weekly number of farrowing to integrate piglet production into the pig supply chain management. As result, an optimal replacement policy of sows and a scheduling of purchases of gilts during the whole planning horizon are provided. The model is solved using the algebraic modeling language ILOG OPL 6.1 with CPLEX 11.2 as the linear optimization solver. The article also discusses results obtained from a sensitivity analysis performed to assess the suitability of the model approach and the benefits of representing real variability over time against time homogeneity. In addition, the analysis and results presented lead to better understand sow herd dynamics over a finite time-horizon and corresponding performance.
机译:本文通过线性优化模型处理育种场生产仔猪的战略规划决策。考虑基于每周周期的中期计划范围。拟议的模型使农场的利润最大化,并考虑了母猪群的动态,住房设施,繁殖管理,可利用的存量以及每周分娩的目标配额,以将仔猪生产纳入猪的供应链管理。结果,在整个计划阶段提供了母猪的最佳替换策略和母猪购买计划。使用代数建模语言ILOG OPL 6.1和CPLEX 11.2作为线性优化求解器来求解模型。本文还讨论了从敏感性分析中获得的结果,该敏感性分析用于评估模型方法的适用性以及代表随时间变化的真实时间随时间均匀性的好处。此外,所提供的分析和结果可以更好地了解有限时间范围内的母猪动态和相应的性能。

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