仓储入库单全流程结构化管理数据集

以入库单为核心分析对象，通过梳理入库业务全流程（从磅单记录到货位分配）构建46个核心字段的结构化模型，明确三个简单规则：一是入库单编号由“园区名+日期+流水号”组成，确保每个单子都能单独找到；二是把货主、货物、货位的编号对应起来，方便查关联信息；三是矿发重量和入库重量的差距不能超过±3%，保证重量数据靠谱。This dataset takes warehouse receipts as the core analysis target. By sorting out the entire warehouse-in business process from weigh ticket records to storage location allocation, a structured model with 46 core fields is established. Three simple rules are specified: 1. A warehouse receipt number is composed of "park name + date + serial number", ensuring that each receipt can be uniquely identified and traced; 2. The IDs of cargo owners, goods and storage locations are cross-referenced to facilitate the query of relevant associated information; 3. The absolute difference between the mine-issued weight and the warehouse-in weight shall not exceed ±3%, so as to ensure the reliability of the weight data.

搜集汇总

背景与挑战

背景概述

该数据集是一个规模为1.58GB、每日更新的结构化数据集，专注于仓储入库单的全流程管理。它通过整合入库业务关键信息，构建了包含46个字段的标准化模型，解决数据碎片化问题，支持多货主、多货物类型的仓储精细化运营，并确保数据完整性和重量核验准确性（误差控制在±3%以内），为入库追溯、货主结算等核心业务提供可靠数据基础。