面粉在各个区域的配送价格浮动区间数据

农业企业或配送平台通过监测面粉在各个区域的市场配送均价及正负浮动值，设定合理的价格浮动区间。当价格超过正浮动阈值时，自动触发与物流供应商的调价谈判或替代路线采购预案；当价格低于负浮动阈值时，启动库存储备机制。该数据可应用于以下四大领域：1.‌行业价格波动预警‌：实时监控区域配送成本变化，预测供需失衡风险（如天气、交通因素）。2.‌政府产业政策制定‌：为农业补贴或区域物流基建规划提供数据支持（如优化生鲜配送网络）。3.‌企业生产计划调整‌：基于配送成本浮动，动态调整种植周期或仓储策略（如高成本期减少远距离供应）。4.‌供应链金融风控评估‌：金融机构利用浮动区间评估贷款风险（如面粉配送价格稳定性作为抵押物价值指标）。1、数据采集：从本公司账册提取本公司关于不同规格的面粉在温州市、台州市各个区县每月当中每日配送价格的最高价与最低价：2、处理数据：将当月每日配送的最低价与最高价分别进行累加，进而得到当月面粉的配送最低价总和（A）与配送最高价总和（B），进一步通过公式（A+B）/2/该月天数得出当月的面粉配送均价（C），再进一步从本公司账册中提取当月面粉的配送最高价（D）与配送最低价（E），根据+浮动值=（D-C）/C*100%以及-浮动值=（E-C）/C*100%公式，计算出+浮动值与-浮动值的大小，从而根据得出的+浮动值与-浮动值确定配送均价的浮动区间（-浮动值~+浮动值）。

Agricultural enterprises or distribution platforms monitor the average market distribution price and positive/negative fluctuation values of flour in various regions to set reasonable price fluctuation ranges. When the price exceeds the positive fluctuation threshold, automatically trigger price negotiation with logistics suppliers or alternative route procurement plans; when the price is lower than the negative fluctuation threshold, activate the inventory reserve mechanism.

This dataset can be applied in the following four major fields:
1. Industry price fluctuation warning: Real-time monitoring of regional distribution cost changes to predict the risk of supply and demand imbalance (such as weather and traffic factors).
2. Government industrial policy formulation: Provide data support for agricultural subsidy or regional logistics infrastructure planning (such as optimizing fresh food distribution networks).
3. Enterprise production plan adjustment: Dynamically adjust planting cycles or storage strategies based on distribution cost fluctuations (such as reducing long-distance supply during high-cost periods).
4. Supply chain financial risk control assessment: Financial institutions use the fluctuation range to evaluate loan risks (such as taking flour distribution price stability as a collateral value indicator).

1. Data collection: Extract the daily highest and lowest distribution prices of flour of different specifications in each district and county of Wenzhou City and Taizhou City within each month from the company's accounting books.
2. Data processing: Accumulate the daily lowest and highest distribution prices of the current month respectively to obtain the total monthly lowest distribution price (A) and total monthly highest distribution price (B). Further calculate the monthly average distribution price of flour (C) via the formula (A+B)/2 / number of days in the current month. Then extract the monthly highest distribution price (D) and lowest distribution price (E) of flour from the company's accounting books. Calculate the positive fluctuation value = (D-C)/C * 100% and negative fluctuation value = (E-C)/C * 100% to obtain the positive and negative fluctuation values, then determine the fluctuation range of the average distribution price (negative fluctuation value ~ positive fluctuation value) based on the calculated values.

搜集汇总

背景与挑战

背景概述

该数据集记录了温州市和台州市区县面粉配送价格的月度浮动区间，包含1541条数据，每月更新。它通过计算每日配送最高价和最低价的累加值，推导出均价及正负浮动值，用于行业价格预警、政府政策制定和企业供应链管理。数据来源于企业自行产生，格式为xlsx，适用于农业和物流领域的动态决策支持。