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Digital model of the dairy industry of Siberia

机译:西伯利亚乳品产业的数字模型

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The studies are devoted to the currently incompletely solved both in theoretical and practical aspects problem of managing the development of the dairy industry. One of the tasks aimed at solving it is the need to develop a nonstandard approach to the theoretical foundations of regulation of this industry and recommendations for its practical application. The research is based on the methodology of systematic, integrated and territorial approaches using methods of economic interpretation of the obtained results, functional and comparative analysis. Scientific novelty is the theoretical substantiation of a multi-level paradoxical model of the relationship between the parameters of the dairy industry. The paradox is the hypothesis that there is a relationship between the regulatory effect and the parameters of the dairy industry that does not have a functional relationship with it (the correlation coefficient is close to 0), through a multi-level chain of indirect relationships of parameters that have a closer relationship with the regulator and indicators that are dependent on it indirectly. To implement the proposed hypothesis, a new mechanism of action is proposed, which allowed, based on actual data taken from open sources, to develop digital models of the dairy industry in Siberia, the maximum margin of error of which does not exceed 10%. Based on the results of developing a digital model and testing its information and computer technology, it is concluded that it can be used to predict the development of the dairy industry depending on the regulatory effect in the form of the invested volume of state support funds. The proposed paradoxical theory was tested for Siberia for 2019, calculated using the proposed digital technology.
机译:在管理乳业发展的理论和实践方面,研究致力于目前不完全解决的问题。旨在解决这一问题的任务之一是需要为该行业调节的理论基础和其实际应用而制定非标准的方法。该研究基于利用经济解释方法,功能和比较分析的经济解释方法的系统,综合和领土方法的方法。科学新颖性是对乳业参数与乳品行业参数之间关系的多级矛盾模型的理论证实。悖论是,通过多级间接关系链间间接关系,监管效果与乳制品行业的参数之间存在关系的假设,这是没有与其的功能关系(相关系数接近0)与稳压器和指示器的关系接近依赖于它的参数。为实施拟议的假设,提出了一种新的行动机制,允许根据从开放来源的实际数据开发西伯利亚乳制品业的数字模型,其最大误差幅度不超过10%。基于开发数字模型的结果和测试其信息和计算机技术,得出结论,它可以用于预测乳制品行业的发展,这取决于规定的国家支持资金的投资数量的监管效果。拟议的矛盾理论用于2019年的西伯利亚测试,使用所提出的数字技术计算。

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