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生产入库分析数据

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江苏数据知识产权登记系统2025-06-18 更新2025-07-04 收录
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这份生产入库分析数据文件聚焦CLP事业部的电子产品制造流程。数据涵盖入库单据编号、日期、审核时间、物料编码、物料名称及规格(含ODM料号、终端料号等关联参数)、产品类型(主产品)、数量维度(应收/实收数量及单位Pcs)、仓储信息(保税成品仓/不良仓及批次号)、生产车间(CLP生产部)、库存状态(可用/不良可用)、生产订单类型(普通生产/返工生产)等核心字段。数据特点包括:完整追溯物料从生产到入库的全生命周期,精准区分正常生产与返工流程,记录保税仓与不良仓的动态库存状态,并整合多层级料号体系(如华勤、仁宝等客户料号)。该数据集可为生产计划排程优化、质量异常追溯(如返工批次聚类分析)、仓储资源配置效率评估(保税仓周转率计算)及供应链风险管理(不良品占比监控)提供数据支撑,适用于制造业的生产运营团队、供应链管理者和质量控制部门进行精细化决策分析。

This production inbound analysis dataset focuses on the electronic product manufacturing process of the CLP Business Division. The dataset covers core fields including inbound document number, date, audit time, material code, material name and specification (including associated parameters such as ODM part number and terminal part number), product type (main product), quantity dimensions (accounts receivable/actual received quantity and unit Pcs), warehouse information (bonded finished product warehouse/defective product warehouse and batch number), production workshop (CLP Production Department), inventory status (available/defective available), production order type (normal production/rework production) and other core fields. The characteristics of this dataset are as follows: it enables complete traceability of the full life cycle of materials from production to inbound, accurately distinguishes between normal production and rework processes, records dynamic inventory statuses of bonded warehouses and defective product warehouses, and integrates multi-level part number systems (such as customer part numbers from Huaqin, Compal and other clients). This dataset can provide data support for production scheduling optimization, quality anomaly traceability (e.g., rework batch clustering analysis), warehouse resource allocation efficiency evaluation (bonded warehouse turnover rate calculation) and supply chain risk management (defective product proportion monitoring), and is applicable to manufacturing production operation teams, supply chain managers and quality control departments for refined decision-making analysis.
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集聚焦于制造企业的生产入库管理,涵盖入库单据、物料编码、仓储状态、生产车间等多维度字段,支持对生产流程效率、返工异常和库存周转的精细化分析。数据特点包括全生命周期追溯、区分正常与返工流程,并整合多层级料号体系,适用于电子制造等行业的生产运营、供应链管理和质量控制决策。
以上内容由遇见数据集搜集并总结生成
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