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Research On The Statistical Model Of The Cost Savings In Logistics Transportation

机译:物流运输成本节约统计模型研究

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In the research process of statistical modeling method on the conservation of transport logistics costs, the current statistical model in the establishment of logistics transport save cost, has defects of inappropriate statistics of the cost of logistics and transport and establish a model error. Therefore, a statistical modeling method based on the agent algorithm for saving cost in logistics transportation is proposed. The method is on basis of transport and logistics cost, split logistics and transport of each process into the cost calculation to account the logistics cost in the enterprise and integrate in the minimum cost rule. Under the premise of ensuring the time and quality of logistics transportation, the distribution of freight volume is performed with the minimum cost of transportation. On the basis of the application of statistical data on the cost saving of logistics transportation, the least squares fitting of the cost in logistics transportation is carried out. A statistical forecasting model of cost saving in logistics transportation is constructed using the method of coordinate rotation of the accelerating step size to solve the exact completion of the logistics transportation cost savings. The experimental results show that the method of saving the cost of the logistics transportation based on the agent algorithm is highly accurate and practical.
机译:在统计建模方法的运输物流成本的保护研究过程中,在建立物流运输的节约成本的当前统计模型,具有物流运输成本的不恰当的统计缺陷和建立模型误差。因此,基于保存在物流运输成本的代理算法的统计建模方法提出。该方法是在运输和物流成本,物流分裂和每道工序的运入成本计算占物流企业中的成本和最小的成本规则整合的基础。在保证时间和物流运输的质量的前提下,货运量的分布与运输成本最低执行。在对成本节省物流运输的统计数据的应用程序的基础上,在物流运输成本的拟合最小二乘法进行。成本在物流运输节省的统计预测模型使用坐标加速步长大小的旋转来解决物流运输成本节约的精确完成的方法构建。实验结果表明,节约基于代理的算法物流运输成本的方法非常准确,实用。

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