仓储智能拣货路径优化数据集

仓储智能拣货路径优化数据集在内部数据采集方面，包括货架精确坐标、尺寸、层数及通道宽度、走向与通行规则等仓储布局信息，货物存放货位、尺寸重量、出入库频次等货物数据，商品明细、数量、优先级以及生成与交付时间等订单数据，拣货人员工作效率、技能与状态，以及搬运设备类型、速度、载重等数据。外部数据采集包括宏观环境，包括交通路况信息、天气数据、市场动态数据等The Warehouse Intelligent Picking Path Optimization Dataset collects data from two aspects: internal and external. For internal data collection, it encompasses warehouse layout information including precise coordinates, dimensions and number of tiers of shelves, aisle width, orientation and access rules; cargo-related data such as storage locations, dimensions, weights and inbound/outbound frequencies of goods; order-related data covering product specifications, quantities, priority levels, generation and delivery times; as well as data on order pickers' work efficiency, skills and working status, and handling equipment parameters including type, speed and load capacity. For external data collection, the dataset gathers macro-environmental data including traffic conditions, weather data and market dynamics.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于仓储拣货路径优化，由良品铺子股份有限公司提供，包含3200万条企业数据，每周更新。它整合了仓储布局、货物、订单及人员设备等多维度信息，通过智能算法动态生成最优拣货路径，旨在减少40%-60%无效行走并提升订单吞吐效率30%-50%，适用于食品商贸和仓储企业实现智能化升级。