order picking

order picking optimization problem in automated warehouse and a hierarchic genetic algorithm(HGA)is proposed to solve it.

Order picking is one of the most important key factors for an efficient warehouse management.

The order picking efficiency directly affects the overall working efficiency of the automated warehouse.

The storage and handling equipment is a function of both the volume and throughput of material and the order picking methods used.

Plan for change and understand your business needs to achieve maximum efficiency in slotting and order picking.

Order picking is an important issue of distribution center.

Research on Pheromone Modification Strategies Applied to Dynamic Order-Picking of Fixed Shelf

Simple optimal algorithm of operational route for order picking automated warehouse

Simulation Analysis for Various Order-picking Policies in Distribution Center

Research on the Order Picking Optimization Problem of the Automated Warehouse

A New Modified LK Algorithm Solving the Assymetric Order-picking Optimization

mobile shelving net unit load size operation area order picking truck order picking

Function Transformation of Order Picking in EGS Environment

Solving the Fixed Shelf Order-Picking Optimization Problem Using the Modified LK Algorithm

Features of automatic order picking

Features of manual order picking

classbased storing policy results in shorter order picking route distance than that by random storing;