食用油配送食堂金额数据

通过配送管理系统软件采集本公司食用油配送部队食堂订单信息，将不同的配送订单以各食堂来划分，从而计算各个食堂每个月的配送金额数据，再计算出12个月的配送金额的方差大小，方差大小用来评价各个食堂的配送情况，从而用于评估所有部队食堂的采购和配送策略，所有企业可以通过该数据了解食用油在不同部队食堂的配送行情，以平衡采购和配送食用油数量。步骤1：通过配送管理系统软件采集本公司食用油配送部队食堂的订单信息，将不同的配送订单以各食堂来划分归类，从而将各年度每个月配送至食堂的金额，从一月至十二月依次用y1,y2...y12表示，并汇总计算得到各个食堂当年的总配送金额y。步骤2：计算各食堂的月平均配送金额y̅=各个食堂当年的总配送金额y/12。步骤3：根据方差公式计算方差s2={(y1-y̅)2+(y2-y̅)2+(y3-y̅)2+…+(y12-y̅)2}/12，从而得到各个食堂的月配送金额的方差s2大小。步骤4：当方差s2小于0.01评价该食堂为超平稳型食堂。当方差s2大于等于0.01并且小于等于0.02评价该食堂为一般平稳型食堂。当方差s2大于0.02评价该食堂为波动型食堂。对于超平稳型食堂，所有企业无需时时关注该食堂的行情，可每月保持好食用油的采购和配送数量；对于一般平稳型食堂，所有企业需每季度关注该食堂的行情，适当调整食用油的采购和配送数量；而对于波动型食堂，所有企业需每月时时关注该食堂行情，了解该食堂的配送行情变化，以适应大幅度调整食用油的采购和配送数量变化。

This dataset is developed by collecting order information of edible oil deliveries to military mess halls under our company via the Distribution Management System software. Different delivery orders are categorized by individual mess hall to compute the monthly delivery amount data for each mess hall, then calculate the variance of the 12-month delivery amounts. The variance value is used to evaluate the delivery performance of each mess hall, supporting the assessment of procurement and delivery strategies for all military mess halls. Enterprises can leverage this dataset to gain insights into edible oil delivery trends across various military mess halls, thereby balancing the quantities of edible oil procured and delivered.

Step 1: Collect order information of edible oil deliveries to military mess halls under our company via the Distribution Management System software. Classify different delivery orders by individual mess hall, denote the monthly delivery amounts to the mess hall in a given year sequentially as y₁, y₂, ..., y₁₂ from January to December, and aggregate to calculate the total annual delivery amount y for each mess hall.
Step 2: Calculate the monthly average delivery amount ȳ for each mess hall using the formula: ȳ = y / 12, where y is the total annual delivery amount of the mess hall.
Step 3: Calculate the variance s² of the monthly delivery amounts for each mess hall via the population variance formula: s² = [(y₁ - ȳ)² + (y₂ - ȳ)² + (y₃ - ȳ)² + … + (y₁₂ - ȳ)²] / 12.
Step 4: Classify each mess hall based on its calculated variance s²:
- Ultra-stable Mess Hall: s² < 0.01
- Generally Stable Mess Hall: 0.01 ≤ s² ≤ 0.02
- Volatile Mess Hall: s² > 0.02

For Ultra-stable Mess Halls, enterprises do not need to conduct real-time monitoring of the mess hall's trends, and can maintain consistent edible oil procurement and delivery volumes on a monthly basis. For Generally Stable Mess Halls, enterprises should conduct quarterly reviews of the mess hall's trends and make appropriate adjustments to edible oil procurement and delivery quantities. For Volatile Mess Halls, enterprises need to conduct real-time monthly monitoring of the mess hall's delivery trends, grasp changes in the mess hall's delivery situation, and make significant adjustments to edible oil procurement and delivery quantities accordingly.