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Agroindustrial best practices that contribute to technical efficiency in Brazilian sugar and ethanol production mills

机译:农业工业最佳实践,有助于巴西糖和乙醇生产厂的技术效率

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The agricultural and industrial indicators that contribute to the efficiency of sugarcane mills were investigated in this study. A two-stage Data Envelopment Analysiswith output approach was applied to 271 mills for the data from the 2006/2007 season to the 2015/2016 season. The first stage consisted of the elaboration of two efficiency models using the total milling yield of the crop (t) and the amount of total recoverable sugars (t) as the input variables and the productions of sugar (t) and ethanol (m(3)) as the output. The second stage identified the production process variables significantly influencing the efficiency through multiple linear regression. In addition, with the help of sugarcane experts, ten variables related to the efficiencies of the agricultural and industrial processes of sugar and ethanol production, which contribute to the overall productivity of the sugar-energy units, and 40 best practices were developed to observe, improve, and control these indicators in order to increase the global efficiency of the agroindustrial production units. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在本研究中研究了促进甘蔗米尔效率的农业和工业指标。两阶段数据包络分析驱动方法应用于2006/2007年季节的271米草,2015/2016赛季。第一阶段包括使用作物(T)的总铣削产量和总可回收糖量(T)作为输入变量和糖(T)和乙醇的制作(M(3 ))作为输出。第二阶段确定了通过多元线性回归显着影响效率的生产过程变量。此外,在甘蔗专家的帮助下,与糖和乙醇生产的农业和工业过程的效率有关的十个变量,这有助于糖能单位的整体生产力,以及40种最佳实践的观察,改进,并控制这些指标,以提高农业工业生产单位的全球效率。 (c)2019 Elsevier Ltd.保留所有权利。

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