Picking path optimization method and picking path optimization device

Abstract

The invention relates to a picking path optimization method and a picking path optimizing device. The method for optimizing the picking path includes: step (S1), extracting the picking time from the storage location to the storage location from the historical picking data; step (S2), according to the order data stored in the order pool with multiple orders, Use the picking time to measure the distance in the picking time between the storage positions of the order items; Step (S3), according to the distance in the picking time between the storage positions of the order items, search for the distance between the picking time and other storage positions. The delivery time is short, and the storage location with the shortest overall picking time in the local storage location set is used as the local center point; The collection list for centralized picking at the local central point.

Description

technical field [0001] The invention relates to a picking path optimization method and a picking path optimizing device, in particular to a picking path optimizing method and a picking path optimizing device based on the shortest picking time between storage positions. Background technique [0002] The e-commerce warehouse has a large number of orders, a large number of SKUs, and diversified business models. The picking time accounts for about 30% of the production time. As picking is a key link in production, it is of great significance to optimize the picking route and improve picking efficiency. The WMS picking system has the following problems, which limit the improvement of warehouse production capacity to a certain extent. [0003] Picking goods in the whole place is inefficient. In actual operation, in order to ensure the production of orders, especially for special orders such as 211 (the logistics and distribution service provided, that is, orders placed before 11...

AI Technical Summary

Problems solved by technology

[0010] The present invention is made in view of the problem that the existing picking path optimization method has no room for improvement, and it is mainly based on rules and lacks certain objectivity. Its purpose is to provide a storage-based Picking path optimization method with the shortest picking time between positions, so as to eliminate the limitation of space distance and avoid the situation that the storage space is very close and the picker (or the picking robot) actually walks a long distance Appears, and more accurately reflects the density of the distribution of goods that need to be picked, accurately finds the local central product and the product closest to it to generate a collection list, so as to improve the picking efficiency and shorten the overall picking time of the warehouse

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