遇见数据集

仓储管理分析数据集合

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贵州省数据知识产权登记平台2025-11-17 更新2025-11-18 收录
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1、安全库存计算模型:采用“安全库存=日均消耗量×采购提前期×安全系数”算法,结合历史出库数据计算不同物资的日均消耗量,安全系数根据物资重要性(如是否为核心生产原料)设定为1.2-1.5,确保库存既能满足生产需求又不积压。2、库存周转率优化算法:通过线性回归分析“库存水平-资金占用成本-缺货风险成本”的关系,找到总成本最低的最优库存点,例如计算得出降解母粒的最优库存为18天,此时综合成本(资金+缺货)最低。3、仓储空间分配规则:基于ABC分类法,将物资按出库频次分为A类(高频,如成品平口袋)、B类(中频,如半成品膜卷)、C类(低频,如备用包装材料),自动分配A类物资至最优仓储区域,空间利用率提升20%。

1. Safety Stock Calculation Model: The algorithm "Safety Stock = Average Daily Consumption × Procurement Lead Time × Safety Factor" is adopted. The average daily consumption of various materials is calculated based on historical outbound data, and the safety factor is set between 1.2 and 1.5 according to the material importance (e.g., whether they are core production raw materials), ensuring that the inventory can meet production demands while avoiding overstocking. 2. Inventory Turnover Optimization Algorithm: Through linear regression analysis of the relationship among "inventory level, capital occupation cost and stockout risk cost", the optimal inventory point with the lowest total cost is identified. For instance, the optimal inventory of degradable masterbatch is calculated to be 18 days, at which the comprehensive cost (capital + stockout) reaches the minimum. 3. Warehouse Space Allocation Rules: Based on the ABC classification method, materials are categorized into Category A (high-frequency, e.g., finished flat pouches), Category B (medium-frequency, e.g., semi-finished film rolls) and Category C (low-frequency, e.g., spare packaging materials) according to their outbound frequency. Category A materials are automatically allocated to the optimal storage area, boosting the space utilization rate by 20%.

创建时间:
2025-11-12
搜集汇总
数据集介绍
仓储管理分析数据集合 数据集图片
背景与挑战
背景概述
该数据集是贵州汇林降解塑料有限责任公司自行产生的仓储管理分析数据,规模为5G,每日更新,主要用于优化库存、调配仓储空间、管控损耗和辅助采购,通过安全库存模型和ABC分类法等算法提升效率和降低成本。
以上内容由遇见数据集搜集并总结生成
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