A warehouse location allocation method based on two-factor optimization

Abstract

The invention discloses a warehouse location allocation method based on two-factor optimization, the invention is guided by factor weight replay, First, according to the storage status of the currentwarehouse materials, A static mapping table of the original material stacking method is formed, the information of operators' experience and habits in slicing for a period of time is formed into the first standardized data which can be referenced, At that same time, base on the material stacking rule, Material outbound correlation and material flow frequency, A material association dynamic map table is formed, As a second standardized reference, Finally, based on the small weight of the two-factor product, select the appropriate mapping table and obtain the location of the goods to be warehoused, and guide the goods storage from the static mapping table according to the original material stacking mode to the dynamic mapping table of the material association according to the results of thetwo-factor weight repetition, and finally realize the transformation of the original material storage mode of the warehouse.

Description

technical field [0001] The invention belongs to the field of logistics informatization, and in particular relates to a warehouse location allocation method based on two-factor optimization. Background technique [0002] At present, warehouse materials can be stored in various ways such as in-situ stacking, shelf stacking, and automated three-dimensional warehouses. However, automated three-dimensional warehouses require a complex automation system formed by a series of systems and auxiliary equipment. The construction cost is high and the construction period is long. Therefore, to solve the problem of warehouse informatization construction, it is the most important to quickly improve the level of warehouse operation and informatization construction by adding an efficient storage space allocation method on the basis of the empty warehouse with ordinary shelves or on the basis of the existing warehouse shelf system. At present, many cargo space allocation technologies focus on...

AI Technical Summary

Problems solved by technology

But it must also be noted that these machine learning algorithms require the original warehouse management system to be able to form a large number of standardized cargo storage and circulation records, which are not suitable for large warehouses that still have a lot of manual work, and their historical operation information mostly relies on front-line operators. Cannot form standardized electronic data

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