Storage layout optimization method and device

Abstract

The invention provides a storage layout optimization method and a storage layout optimization device. The objective of the invention is to improve relevant objective evaluation indexes of storage management. The storage layout optimization method of the invention includes the following steps that: current storage layout to be optimized is constructed to original individuals, positions in the original individuals represent single items, numerical values in one-to-one correspondence with the positions in the original individuals represent warehouses corresponding to the single items currently; an original group is constructed according to the original individuals; a genetic algorithm is utilized to carry out iterative processing on the original group, so that an adaptive group can be obtained, and a fitness function in the genetic algorithm is an index preset for storage layout; and adaptive individuals in the adaptive group are deconstructed to optimized storage layout, and the optimized storage layout is outputted, positions in the adaptive individuals represent single items, and numerical values in one-to-one correspondence with the positions in the adaptive individuals represent warehouses corresponding to optimized single items.

Description

technical field [0001] The present invention relates to the technical field of computer network and computer software, in particular to a storage layout optimization method and optimization device. Background technique [0002] During the development of e-commerce, with the continuous enrichment of sales categories and the continuous expansion of storage scale, some technical problems have arisen, which have brought challenges to e-commerce operations. The details are as follows. [0003] At present, when e-commerce companies plan their warehouse layout, the conventional practice is to put products of the same category in the same warehouse as much as possible. Examples of commodity categories are as follows: maternal and child products, outdoor products, food and beverage, personal care, 3C electronics, books, audio-visual, clothing, shoes and hats, etc. When only a small number of warehouses are involved, storing goods by category in single warehouse production is a feasi...

AI Technical Summary

Problems solved by technology

Since the customer only pays one shipping fee and the e-commerce company needs to bear multiple delivery costs, the phenomenon of splitting orders is not good for e-commerce operations

[0004] In addition, because the early design is not reasonable enough, the design parameters do not conform to the actual operation data, there may also be problems in the warehouse that do not match the warehouse capacity (referring to the number of orders processed by the warehouse per unit time), or the storage capacity pressure (referring to the current storage capacity and the maximum design storage capacity quotient) is too large

[0005] To sum up, technical problems such as high rate of dismantling orders, mismatched production capacity, and high storage capacity pressure all lead to high operating costs for warehouse management, and there is an urgent need to improve the existing warehouse layout

Images