Order distribution method and device

Abstract

The invention discloses an order distribution method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining the collection order information, wherein the collection order information comprises the order information of a plurality of orders; according to the collection order information, using a trained neural network modelto obtain the article information distributed to a workstation; and according to the article information of the workstation, determining an allocation relation between the workstation and each order in the collection order. According to the embodiment, by adopting the trained neural network model, and according to the collection order information, the distribution relation between the multiple orders and the workstations is obtained, the problem of processing time randomness caused by the random order distribution in the prior art is solved, and the time consumption for the workstations to process the orders is reduced.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and device for allocating orders. Background technique [0002] When the warehouse receives a large number of orders, each order needs to be allocated to the workstations in the warehouse. An excellent order allocation strategy can reasonably arrange the orders that need to be produced in the same batch for each workstation according to the number of existing workstations, so as to reduce from The time consumption between picking and outbound completion. At present, in the warehouse production process, orders are mainly distributed by randomly binding orders and workstations. [0003] In the course of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0004] 1. Using the method of randomly allocating orders, the distribution results are relatively random, and the chances of producing a better or wors...

AI Technical Summary

Problems solved by technology

[0004] 1. Using the method of randomly assigning orders, the distribution results are relatively random, and the chances of producing a better or worse distribution plan are equal, resulting in randomness in the time consumption of the workstation to process orders

[0005] 2. The method of randomly assigning orders cannot reduce the time consumption of workstations for processing orders, and it cannot improve the efficiency of workstations for processing orders as a whole.

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