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AUTOMATED WAREHOUSE SYSTEM AND METHOD FOR OPTIMIZED BATCH PICKING

机译:用于优化批次拣选的自动仓库系统和方法

摘要

A computerized system and method use optimization after aggregation of orders over a Batch Window period of time to increase Pick Performance in the Fulfillment Center Automation (FCA) system that automates taking the picker to the goods; or an Automated Warehouse System (AWS) that automates the presentation of goods to a stationary picker. Batch Optimization improves pick performance for the FCA or AWS; using a closed-form algorithm, combinatorial optimization, or OOP to perform Batch Optimization, adapting to Picker Performance by automatically shifting certain orders to different aisles while stocking the same SKU items in multiple aisles. Programmable Capacity is optionally provided to allow the Fulfillment Center to easily adapt to varying order loads. Some embodiments selectively place orders into selected batches to maximize multi-picks of identical-SKU items at one time and maximize chain-picks of different-SKU items in sequential picks at one pick window.
机译:一种计算机化的系统和方法可以在批处理窗口时段内汇总订单后使用优化功能,以提高实现自动将拣配员带到货物的配送中心自动化(FCA)系统中的拣选性能;或自动将货物展示给固定拣选人员的自动仓库系统(AWS)。批次优化可提高FCA或AWS的拣选性能;使用封闭格式算法,组合优化或OOP进行批次优化,通过自动将某些订单转移到不同的通道,同时将相同的SKU项目存储在多个通道中来适应Picker Performance。可选提供可编程容量,以使配送中心轻松适应各种订单负载。一些实施例选择性地将订单放入选定的批次中,以一次最大化相同SKU项目的多批次,并在一个拣选窗口中按顺序拣选最大化不同SKU项目的链批次。

著录项

  • 公开/公告号WO2020006010A1

    专利类型

  • 公开/公告日2020-01-02

    原文格式PDF

  • 申请/专利权人 AHMANN ROBERT D.;

    申请/专利号WO2019US39087

  • 发明设计人 AHMANN ROBERT D.;

    申请日2019-06-25

  • 分类号B65G1;

  • 国家 WO

  • 入库时间 2022-08-21 11:14:01

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