A cargo space allocation optimization method applied to Flying-V type non-traditional layout warehouse

Abstract

The invention provides a cargo space allocation optimization method applied to a Flying-V type non-traditional layout warehouse, which is characterized in that it includes the following steps: S1. Set relevant parameters for cargo space allocation in the Flying-V type warehouse; S2. Initialize the cargo space. Assign parameters; S3. Initialize the population based on the information sheet of goods to be stored; S4. Use adaptive genetic algorithm to make individual optimal selections for the population; S5. Determine whether the number of algorithm termination iterations has been reached, if so, proceed to S6, otherwise continue the cycle Step S4; S6. Output the optimal cargo location allocation plan. The application of the cargo space allocation optimization method mentioned in the patent of this invention is the "Flying‑V type non-traditional warehousing layout". It optimizes the efficiency of goods entering and exiting the warehouse and the lowest center of gravity after placing goods on the shelf, providing a multi-dimensional warehouse with different dimensions. The target optimization problem processing method uses an adaptive genetic algorithm. The crossover rate and mutation rate change with the fitness value, which not only maintains the population diversity but also ensures the global convergence of the genetic algorithm.

Description

technical field [0001] The invention relates to the field of warehouse management, in particular to a cargo location allocation optimization method applied to a Flying-V non-traditional layout warehouse. Background technique [0002] Warehousing is an important link in logistics, which directly reflects the status of materials before and during circulation, and is the basis for enterprises to judge production and sales. In the entire operation process of warehouse management, the information feedback of warehouse management will directly affect the economic operation of the enterprise. Therefore, the warehousing management link has been upgraded from an operational and auxiliary role that was not valued to an important link in the business operation strategy and a source of profit for the company to gain competitive advantages and reduce costs. Usually, the main operations of the warehouse include goods in-warehouse, in-warehouse management and out-of-warehouse operations, ...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the defect that the existing cargo space allocation technology and method cannot effectively solve the cargo space allocation of Flying-V layout warehouse, the present invention proposes a Flying-V warehouse cargo space allocation optimization method based on genetic algorithm

Images