一类随机需求的存贮模型探讨

A Discussion on a Type of Storage Model of Random Demand

通过报纸销售点的最佳进货量问题,讨论一类随机需求的存贮模型。根据以往市场对报纸的需求量的统计资料,利用数学软件Mathematica进行数据拟合,得到报纸需求的概率密度函数,再以获利的最大数学期望值为目标建立优化模型,从而确定报纸的最佳订购量。

Based on the issue of the optimal storage of a retail newspaper post, this thesis discusses a type of storage model of the random demand. According to the statistics of the last market demand for newspapers, it works out the ratio density function of the demand for newspapers by making use of Mathematica to conduct data fitting. Then, it establishes the optimal model with the gained maximum value of mathematical expectation as its target to determine the optimal storage of newspapers.