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Optimization of wheat blending to produce breadmaking flour

机译:优化小麦掺混以生产面包粉

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摘要

Linear programming was utilized to optimize the blending of wheat lots which have different quality characteristic and costs. Using best subsets regression three quality tests (particle size index, dough volume and falling number value) were selected in relation to loaf volume of bread to be produced. The chosen criteria were set up in a linear programming format as a model for The computerized solution. The model's applicability was assessed in a Commercial mill. As a result of applying the model it was found possible to Produce breadmaking flour with a reasonable quality and at a lower cost.
机译:利用线性规划来优化具有不同质量特征和成本的小麦批次的混合。使用最佳子集回归,相对于要生产的面包的面包体积,选择了三个质量测试(粒度指数,面团体积和下降数值)。选择的标准以线性编程格式设置为计算机解决方案的模型。在商业工厂中评估了该模型的适用性。应用该模型的结果,发现可以以合理的质量和较低的成本生产面包粉。

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