An Allocation Method of Logistics Warehousing Bins Based on Association Rules

Abstract

The invention provides a distributing method for logistic warehouse bin locations based on an association rule, which can be used for providing an efficient and reasonable bin distribution scheme for large-scale and high-capacity logistic warehouses, thereby improving the treatment efficiency of workers. The method comprises the following steps: firstly, performing normalized treatment on goods information and electronic pickup lists to be distributed; then finding out frequent k item sets and frequent 2k item set by utilizing the association rule; finally, determining bin location distribution of specific goods according to a principle that the frequent k item sets are placed in the same box and the frequent 2k item sets are not placed on the same rack (layer). The distributing method for logistic warehouse bin locations based on the association rule is suitable for distribution of bin locations of large-scale and high-capacity logistic warehouses; goods, which need to be taken for use together frequently, are placed together according to the association rule, so that the time spent in finding the goods is reduced and the work efficiency is improved.

Description

technical field [0001] The invention relates to the application of an association rule algorithm in data mining in the allocation of logistics storage positions, in particular to a method for allocating logistics storage positions based on association rules. Background technique [0002] At present, with the development of the economy, large-scale, high-capacity logistics warehouses can be seen everywhere; with the continuous increase in scale and capacity, it is really time-consuming to find a few needed items in such a large-scale warehouse strenuous work. If there is no reasonable and efficient storage plan, it is likely to need to search the entire warehouse to find the required items. Therefore, there is an urgent need for a reasonable and efficient configuration scheme for item storage positions, which can improve the pick-up efficiency of staff as much as possible and shorten the query time of items. [0003] There are many storage devices in the prior art, such as...

AI Technical Summary

Problems solved by technology

[0005] However, in practical applications, the storage location of items in the warehouse is often determined by human experience, which is very likely to be placed unreasonably, resulting in a reduction in the processing efficiency of the pick-up list

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