安全库存量
- 网络Safety stock;Safety Inventory
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在计算过程中涉及到销售量的预测,本文综合运用双指数平滑法模块及BP神经网络两种方法进行预测,保证了预测的准确性,从而确保设计出的关键零部件的安全库存量接近实际。
It relates to sales forecasting in the calculation process . this paper uses two kinds of method to calculate including exponential smoothing method and BP neural network , which ensures the design of key parts of the safety stock is close to the actual .
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在制造商具有一定的消耗速率时就很容易确定制造商的安全库存量。
When manufacturer has a definite consuming rate , we can easily make sure manufacturer 's safety stock .
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确定安全库存量的效用值法
Method of Utility Value of Determining the Safe Stock Quantity of Goods
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基于神经网络确定安全库存量的研究
The research of safe volume of stock based on eural network model
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基于多智能体的安全库存量控制方法研究
Study on the Methodology of Controlling Safety Inventory Quantity Based on Multi-Agent Technology
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同时制定了安全库存量和经济采购量以提高库存的质量,另一方面也为系统进行及时准确的采购提供了依据。
At the same time the module defines the safety stock and economic order quantity to improve the quantity of stock .
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分析了物流园区安全库存量及一定区域内物流园区数量与交通布局的匹配问题;
Analyzing the safety stock quantity in Logistics Park and the quantity of Logistics Park matching with the transportation network inside a certain district ;
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本文从分析供应链是怎样运用库存聚集着手,研究在不降低产品供给水平的情况下,聚集效应是怎样影响安全库存量。
This paper from analyzes how supply chain assemble stocks , to study how aggregation effect influence safety inventory , but don 't reduce the product availability .
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除了保持安全库存量之外,什麽办法能满足存货和服务问题?每个方法的优点和缺点在哪里?
Aside from holding safety stock , what options are available to address the inventory and service problems ? What are the advantages and disadvantages of each option ?
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由于需求的不确定性,服务备件的库存和提前期管理较为复杂,其安全库存量的设置需要在提高服务水平与降低库存持有成本间取得平衡。
Due to uncertainty and non-predictability , the spare parts inventory and lead time management becomes relatively difficult , requiring a balance between enhancing service quality and reducing inventory cost .
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为了在达到一定客户服务水平的同时可以减少商品的安全库存量,本文选用定量订货库存管理策略。
In this case , in order to achieve a certain customer service level and to reduce the inventory as much as possible , quantitative replenishment inventory strategy is chosen .
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将它与需求和提前期均服从正态分布的情况下计算出来的安全库存量做对比,显示出了非参数核估计模型的优越性。
When we compare the safety stock level with that whose demand and lead time submit to the normal distribution , we can see the superior of non-parametric kernel estimation model .
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本文对现代设备维修模式进行了分析和研究,对设备备件按设备维修模式的不同进行了分类,分析和探讨了各种维修模式所对应的各类备件的存储与管理特点及其安全库存量的确定方法。
It also analyses and discusses the features of various spare parts ' storage and management corresponding to their maintenance pattern . It also covers the definite method to safe storage volume .
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以物资分类为基础,利用灰色数列预测方法给出库存物资需求量的灰色需求区间;根据期望服务水平设定物资安全库存量;
Based on the goods classification , this dissertation determines gray interval of inventory demand applying gray series method of forecasting and designs the secure inventory quantity on the basis of expected service level ;
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提出了规划商品车销售物流配送系统的三阶段规划法;探讨了在随机需求条件下和预定服务水平&缺货率要求的条件下建立库存量特别是安全库存量的方法。
Though deeply study , a three stage planning method on the planning of commercial car distribution system is proposed and the method of determining inventory , specifically safety inventory under random demands and given service level-stockout rate is analyzed .
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根据顾客需求订单以及厂内生产能力、线边存货量、超市安全库存的保证量以及零件需求量及包装量的大小来计算看板卡数。
Using customer demand order 、 production capacity 、 the line side inventory , safety stock of supermarket packaging volume to calculate the number of Kanban cards .
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方案还针对每个备件的特点,计算出了需求预测值、消耗统计分布、重订货点、安全库存、重订货量、服务水平等科学备件库存管理所需的关键参数。
Aimed to the characteristics of each spare part , the program also calculates the key parameter in scientific inventory management of spare parts such as the demand forecast values , consumption of statistical distribution , re-order point , safety stock , and re-order quantity , service level .
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应用人工神经网络,建立BP神经网络模型,用多个影响安全库存的指标及安全库存对网络进行训练,以达到对安全库存量预测的目的。
The goal of forecast Safety Goods Stockpile can be achieved by using Artificial Neural Networks to structure BP model and training the net with Safety Goods Stock-pile and many elements which affect the Safety Goods Stockpile .
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设置安全库存也是化工企业采取的一种应急措施,鉴于各种不确定性因素的存在,安全库存量的确定仍然以经验确定为主,缺乏科学的决策依据。
Safety stock is set in a chemical engineering enterprises protect against demand and performance cycle uncertainty . Because the uncertain factors , safety inventory still counts on a experience instead of scientific foundation .