2024年金刺梨果供果能力数据集

1、数据采集：采集历史采购金刺梨鲜果的生产数据中，获取历史数据不同种植农户或供货商、时间、鲜果对应重量的数据信息；
2、数据加工：根据数据透视、SUM函数、自然语言处理（NLP）技术方法，获取不同种植农户或供货商、时间、鲜果对应重量，计算每个种植农户或供货商不同月份、金刺梨鲜果的对应总重量；
3、数据应用：结合公司生产规模和市场需求，为采购金刺梨鲜果匹配供果计划。借历史供货重量算农户能力，根据价格成本建立性价比模型选优；按区域供货量与需求选择采购地或种植农户，降本减损保供应。

1. Data Collection: Extract, from the historical procurement production data of fresh Rosa roxburghii fruits, data records containing information on individual growing farmers or suppliers, timestamps, and the corresponding weights of the fresh fruits.
2. Data Processing: Using data pivot tables, the SUM function, and natural language processing (NLP) techniques, obtain the raw data on different growing farmers/suppliers, timestamps, and the corresponding weights of fresh Rosa roxburghii fruits, then calculate the total monthly weight of such fresh fruits supplied by each individual farmer or supplier.
3. Data Application: Match supply plans for the procurement of fresh Rosa roxburghii fruits by integrating the company's production scale and market demand. Specifically, estimate the supply capacity of each farmer or supplier based on their historical delivery weights, establish a cost-performance optimization model based on price and cost analysis to select optimal partners, and select suitable procurement locations or growing farmers in accordance with regional supply volumes and demand, so as to reduce costs, minimize losses, and ensure stable supply.

搜集汇总

背景与挑战

背景概述

该数据集由农业企业自行产生，规模57.5KB，专用于金刺梨鲜果供货能力评估。通过分析历史采购数据中的农户、时间及重量信息，采用数据透视和自然语言处理技术量化农户供货能力，为采购决策提供支撑以保障稳定供应并降低风险。