装配式柔性盲道砖需求量预测数据

本数据聚焦于预测装配式柔性盲道砖的市场需求量，为公司（生产商）及外部相关方提供了关键的决策依据，具有重要的应用价值。具体体现在以下方面：
1.优化生产计划：对生产商而言，通过预测不同地区装配式柔性盲道砖的需求量，科学制定生产排期，避免产能过剩或断货风险。动态调整原材料采购和包装供应计划，降低供应链成本并提升响应速度。
2.精准营销：经销商可以结合需求量预测数据，识别高潜力市场，制定差异化的销售策略。针对需求增长较快的地区，提前布局销售资源，抢占市场份额。1.数据采集：
采集公司装配式柔性盲道砖的销售数据，包括统计时间、订单编号、客户编号、客户所在地区、订单日期、产品型号、订单数量（块）、订单金额（元）。
2.数据预处理：
对采集的数据进行清洗，去除重复记录，处理缺失值。
3.数据加工与分析：
（1）计算历史需求量：对于每种装配式柔性盲道砖型号，使用SUMIFS函数对订单数量进行累加，分别计算出其过去365天、90天和30天的总需求量。（2）建立需求量预测模型：每种装配式柔性盲道砖型号的未来30天需求量预测值=[(过去365天总需求量÷365*a)+(过去90天的总需求量÷90*b)+(过去30天的总需求量÷30*c)]*30*k；其中，系数a=0.5，b=0.3，c=0.2，调整因子k=1.1。系数a、b、c反映数值对未来30天需求量预测的影响程度，由于算法更注重长期需求趋势的影响，因此a被赋予了最高的权重。调整因子k是公司内部基于市场增长预期所给出的，是固定值。

This dataset focuses on forecasting the market demand for prefabricated flexible tactile paving bricks, providing critical decision-making support for the company (manufacturer) and external stakeholders, with significant application value, which is reflected in the following aspects:
1. Optimized Production Planning: For manufacturers, forecasting the demand of prefabricated flexible tactile paving bricks across different regions enables them to scientifically formulate production schedules, avoid the risks of overcapacity or stockouts, and dynamically adjust raw material procurement and packaging supply plans to reduce supply chain costs and improve response efficiency.
2. Targeted Marketing: Distributors can leverage demand forecasting data to identify high-potential markets and develop differentiated sales strategies. For regions with rapid demand growth, they can deploy sales resources in advance to seize market share.
1. Data Collection:
Collect the sales data of the company's prefabricated flexible tactile paving bricks, including statistical time, order number, customer number, customer's region, order date, product model, order quantity (pieces), and order amount (yuan).
2. Data Preprocessing:
Clean the collected data, remove duplicate records, and handle missing values.
3. Data Processing and Analysis:
(1) Calculate historical demand: For each model of prefabricated flexible tactile paving bricks, use the SUMIFS function to accumulate order quantities, and calculate the total demand over the past 365 days, 90 days, and 30 days respectively.
(2) Establish demand forecasting model: The 30-day-ahead demand forecast value for each model of prefabricated flexible tactile paving bricks = [(Total demand over the past 365 days ÷ 365 * a) + (Total demand over the past 90 days ÷ 90 * b) + (Total demand over the past 30 days ÷ 30 * c)] * 30 * k; where the coefficients a=0.5, b=0.3, c=0.2, and the adjustment factor k=1.1. The coefficients a, b, and c reflect the impact of different time-window demand values on the 30-day-ahead demand forecast. Since the algorithm prioritizes the influence of long-term demand trends, a is assigned the highest weight. The adjustment factor k is a fixed value set by the company based on internal market growth expectations.

搜集汇总

背景与挑战

背景概述

该数据集包含533条装配式柔性盲道砖的订单记录，每日更新，用于预测未来30天需求量。其特点是通过加权平均算法（权重偏向长期趋势）生成预测值，主要服务于生产商和经销商的产能优化与精准营销决策。