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为了提高工厂的经济效益,必须确定生产中所需原材料、元件、器件的合理库存量,使之不要因为库存量太大而积压了资金,也不要因为库存不足而停工待料造成其他损失。本文所讨论的是一种需求为随机变量的离散型单周期存贮模型。主要内容是:一、如何寻求元件需求的分布规律;二、建立概率型存贮模型,导出最优库存量的表达式。并指出,如果缺乏计算存贮费和差缺损失的资料,无法求得最优库存量时,可由元件的需求规律提出决策矩阵(即不同供应水平之下所需的缓冲贮备量及所需经费)供管理人员权衡。文中最后还谈到了解的灵敏度问题。
In order to increase the economic efficiency of the plant, it is necessary to determine the reasonable inventory of raw materials, components, and devices needed in production so that it does not overstock the funds because of the large inventory, and do not stop working to cause other losses due to insufficient inventory. This article discusses a discrete single-cycle storage model with random variables. The main contents are: First, how to seek the distribution law of component requirements; Second, establish a probability storage model, and derive the expression of the optimal inventory. He also pointed out that if there is a lack of data for calculating storage costs and missing losses and the optimal inventory cannot be obtained, a decision matrix can be proposed by the demand patterns of components (ie, the required buffer stocks and requirements under different supply levels). ) For managers to weigh. Finally, the paper also talks about the sensitivity of understanding.