It is the fundamental problem in the market inventory management that how to gain the optimal order quantity.
怎样得到最优的供货量问题是现代库存管理的基础性问题之一。
A method for ranking fuzzy Numbers is applied to finding the optimal order quantity and the corresponding numerical examples are also given.
利用一种模糊数的排序法寻求最优订购量，并给出应用实例。
By analyzing the properties of the expected profit function, it can be concluded that the optimal order quantity locates in the support of fuzzy demands.
通过分析期望利润函数的性质，得出最优订货量应位于模糊需求的支集内。
Numerical example shows that the optimal order quantity increases and maximization profit decreases as the expected value of fuzzy random defective rate increase.
算例分析表明，随着模糊随机缺陷率期望值的增大，最优订货量增大，最大利润相应减少。
Besides, to deal with the uncertainty of the loose supply chain and meet the demand of the market, the distributors must also put forward the optimal order quantity.
此外，为了充分满足市场的需求，分销商还必须提出优化的订货数量，来抵消产品供应的不稳定性。
Under the assumption that the demand function is fuzzy, the solving method for finding the optimal order time and quantity is given in this paper.
在时变需求函数具有模糊性的假设下，本文给出了最优订购时间和订购量的求解方法。
The paper studies the optimal economic order quantity problem of deteriorating items taking account of capital time-value and possible delay in payment of procurement cost.
研究了变质物品在考虑资金时间价值并且采购费允许滞后支付时的最优经济订货批量问题。
Then, the model is solved to determine the optimal order point and order quantity, and also the minimum total annual cost.
然后，对模型进行求解，以确定最佳订货点和最佳订货批量，实现年库存总成本最小为目标。
Then, the model is solved to determine the optimal order point and order quantity, and also the minimum total annual cost.
然后，对模型进行求解，以确定最佳订货点和最佳订货批量，实现年库存总成本最小为目标。
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