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Supply Chain Safety Stock Quantity's Fractal Forecast and Study

机译:供应链安全库存量的分形预测与研究

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Safety stock, a very important composing of the stock management, which is significant for reducing the cost and increasing interests for an enterprise, is the base of the setting of enterprise's stocks, so it is crucial for stock management to presume a rational and exact SS. In this paper, introducing fractal theory, a new method based on the fractal collage theorem and the iterative process of fractal interpolation functions was proposed to forecast the safety stock. Based on the fractal collage theorem, it uses the iterated function system whose attractor is close to the historical data to establish the fractional function, and set the forecasting model proposed according to the iterative process of fractional function. Then by an example the rationality and reliability of this method is verified, and the result show that it is helpful indeed to set the reasonable safety stock for enterprise.
机译:安全库存是库存管理的一个非常重要的组成部分,对于降低企业的成本和增加利益具有重要意义,它是企业库存设置的基础,因此对于库存管理来说,设定合理而准确的SS至关重要。 。本文在介绍分形理论的基础上,提出了一种基于分形拼贴定理和分形插值函数迭代过程的新方法来预测安全库存。基于分形拼贴定理,利用吸引子与历史数据接近的迭代函数系统建立分数函数,并根据分数函数的迭代过程建立了预测模型。然后通过实例验证了该方法的合理性和可靠性,结果表明,为企业设置合理的安全库存确实有帮助。

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