订单拣货效率数据集

该数据整合订单信息（订单编号、商品明细、订单类型）、拣货记录（拣货人员、拣货开始 / 结束时间、拣货路径）及异常记录（如缺货、库位错误），通过计算拣货时效、人均拣货量等指标，评估拣货效率，为智能仓储的订单处理优化提供数据支撑。

This dataset integrates three types of data: order information (including order number, item details and order type), picking records (including picker, picking start time, picking end time and picking path) and exception records (such as stockouts and location errors). By calculating indicators such as picking timeliness and per-capita picking volume, it evaluates picking efficiency and provides data support for order processing optimization in intelligent warehouses.

搜集汇总

背景与挑战

背景概述

该数据集由连云港权策信息科技有限公司登记，专注于分析订单拣货流程的耗时分布与瓶颈，以优化拣货路径、人员排班和订单拆分策略，提升仓储效率。数据集整合了订单信息、拣货记录和异常记录，通过计算拣货时效和人均拣货量等指标，为智能仓储的订单处理优化提供数据支撑，数据格式为Excel。