Quick sales order sorting, grouping and screening method

Abstract

The invention discloses a quick sales order sorting, grouping and screening method which includes concatenating n item detailed data of the same sales order into an item combined character string in the form as item number 1+ concatenation operator A+ item quantity 1+ concatenation operator B + item number 2 + concatenation operator A + item quantity 2 + concatenation operator B +...+ item number n + concatenation operator A + item quantity n + concatenation operator B; compressing the item combined character string by the Hash process to obtain the Hash value corresponding to the item combined character string; collecting the sales orders with the same Hash values into one group, and taking the group as the target to be sorted if the quantity of the sales orders of the group is larger than 100. The quick sales order sorting, grouping and screening method can be used with the existing sorting method, so that requirements for processing a great quantity of sales orders of electronic business can be met effectively. On the basis of combination of the item number and the Hash value, the sales order preprocessing, sorting, grouping and screening method can meet sales order sorting processing requirements of relative systems of supply chains such as ERP (enterprise resource planning system) and WMS (warehouse management system) well.

Description

technical field [0001] The present invention relates to a method for quickly screening and shipping sales orders in the data processing flow of a supply chain-related system, in particular to a method for quickly sorting and grouping orders with the same characteristics based on hash values ​​of product codes . Background technique [0002] The sorting of orders is an important link in the supply chain system of retail, especially e-commerce enterprises, and is often the most decisive factor in determining delivery efficiency. [0003] When the order volume is huge and the goods need to be delivered quickly, the common practice in the industry is to collect orders according to waves so that several orders can be picked together and then distributed. Industry data proves that such picking according to waves is necessary link. The wave division rules and sorting algorithm determine the speed of wave picking, which is a difficult point in the design of related systems. [00...

AI Technical Summary

Problems solved by technology

However, we found a situation that there is a considerable batch of orders purchased with a combination of commodity types that will be picked together with ordinary orders, and there is no way to optimize the location route. Possibility of picking handling is also reduced