Order picking method based on electronic label and system thereof

Abstract

The invention provides an order picking method based on electronic labels and a system thereof; the order picking method comprises the following steps: S1, setting a first electronic label on a shelf,and setting a bar code and a second electronic label on a mobile order picking van; S2, allowing the mobile order picking van to scan, using a host computer to receive and parse the code so as to obtain a bar code message, and distributing orders for the second electronic label of the mobile order picking van according to the bar code message; S3, allowing the host computer to distribute order instructions for the second electronic label of the corresponding mobile order picking van, wherein the order instruction comprises order picking area information and a to-be-picked signal; S4, buildingconnection between the mobile order picking van and the shelf according to the order instruction; S5, picking orders according to the first electronic label on the shelf; S6, returning to S4 and cycling until orders are fully picked. The method and system can effectively reduce the order picking walking distance and order searching time, and can reduce the error rate.

Description

technical field [0001] The invention relates to a picking method, in particular to an electronic tag-based picking method, and to a picking system including the electronic tag-based picking method. Background technique [0002] With the rapid development of e-commerce, online shopping has become a favorite way of shopping. Online shopping poses a huge challenge to the logistics system of e-commerce. In order to provide delivery timeliness and reduce logistics costs, e-commerce companies have set up large-scale logistics storage centers in various places. After obtaining orders, e-commerce platforms deliver orders to corresponding The distribution of orders among multiple warehouses is mainly done manually. [0003] And the sorting characteristics of e-commerce logistics products are: the number of orders is small, the number of orders is large, the degree of product aggregation is low, and a large amount of manual sorting is required, so the sorting efficiency and accuracy ...

AI Technical Summary

Problems solved by technology

[0003] And the sorting characteristics of e-commerce logistics products are: the number of orders is small, the number of orders is large, the degree of product aggregation is low, and a large amount of manual sorting is required, so the sorting efficiency and accuracy are relatively low. Although there are currently automated control picking systems Intervention, however, how to effectively reduce the search time and reduce the walking distance required for picking is always a challenge that needs to be completed

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