Intelligent warehouse location distribution system and method

Abstract

The invention provides an intelligent warehouse location distribution system and method. The system comprises a logistics cost influence factor calculation unit, an article stock prediction unit and astorage location distribution unit, wherein the logistics cost influence factor calculation unit is used for calculating a plurality of logistics cost influence factors based on article information and warehouse information; the article stock prediction unit predicts stock amount data of each article based on a neural network algorithm, and the storage location distribution unit performs iterative calculation based on the stock amount data of each article, a plurality of logistics cost influence factors and an evolutionary algorithm to search for comprehensive costs under different storage location distribution schemes to obtain storage location distribution information under the optimal cost; according to the method, the relationship between the storage location distribution scheme and the logistics cost is researched, the optimization of the logistics cost is taken as a research purpose, and a plurality of factors influencing the logistics cost are taken as influence factors of thestorage location distribution scheme, so that the method can be popularized in different enterprises, and has remarkable popularization significance in the aspect of reducing the logistics cost of theenterprises.

Description

technical field [0001] The invention belongs to the technical field of intelligent warehousing, and in particular relates to an intelligent warehouse location allocation system and method. Background technique [0002] In recent years, with the development of science and technology, intelligent warehousing and intelligent logistics have been widely studied. The traditional management mode of "fast in and fast out" of warehouses is no longer suitable for the rapid development needs of modern enterprises. In pursuit of scientific staffing , Under the development needs of optimizing logistics costs, the existing intelligent warehouse management mode still has the following technical problems: [0003] (1) The overall location configuration of the warehouse still relies on manual experience for planning and adjustment, and with the update of the types of warehouse items, the dynamic adjustment of the location configuration lacks scientific consideration; the existing location co...

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Problems solved by technology

[0003] (1) The overall location configuration of the warehouse still relies on manual experience for planning and adjustment, and with the update of the types of warehouse items, the dynamic adjustment of the location configuration lacks scientific consideration; the existing location configuration, most of the allocation The solution is still only based on the consideration of item turnover rate, ignoring the internal correlation of different items when they are shipped, which affects the shipping efficiency, and does not consider the logistics cost loss brought to the enterprise by wrong inspection operations. Usually, wrong The reason for the existence of inspection is that the appearance of the items stored in adjacent storage locations is relatively similar. Considering that mis-picking generally occurs in batches, if the prices of items in adjacent storage locations differ greatly, the loss of logistics costs due to incorrect inspection will be unavoidable. ignore

[0004] (2) The overall storage location configuration of the warehouse has little connection with the logistics cost accounting of the enterprise. On the one hand, there are many factors affecting the logistics cost of the enterprise. The calculation of the logistics cost changes brought about by the warehouse location configuration is complicated and professional. It is conducive to rapid promotion. On the other hand, there are relatively few researches on warehouse location configuration at present. Different enterprise sizes have different research contents on warehouse location configuration optimization. Related technical indicators have not been standardized, and different enterprises have corresponding research emphases. different;

[0005] (3) Most enterprises only consider the internal situation of the enterprise or the short-term order situation when stocking up, and ignore the research on the feedback information of the external environment. Sometimes blind stocking not only affects the turnover efficiency of the warehouse, but also affects the company's profitability. operating profit

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