Cargo allocation optimization method based on logistics total quantity and energy consumption

Abstract

The invention discloses a cargo allocation optimization method based on total logistics amount and energy consumption, and the cargo allocation optimization method comprises the steps: obtaining the historical warehouse-in and warehouse-out frequency data of cargos, and carrying out the classification of the cargos according to the frequency; setting the loading, unloading and transportation workload in the cargo warehouse-in and warehouse-out process as the logistics quantity, distributing the cargos with large logistics quantity to the cargo spaces close to the warehouse-in and warehouse-outopening, setting the sum of the logistics quantities of all the cargos as the total logistics quantity, constructing a model by taking the minimum total logistics quantity as an optimization target,and distributing the cargo space number of each cargo; constructing a model by taking the minimum total energy consumed in the warehouse-in and warehouse-out process of all the cargos as an optimization target; and combining a greedy algorithm with a genetic algorithm to solve the model, and distributing the cargos to each row of specific goods grids. According to the cargo allocation optimizationmethod, the total logistics amount and energy consumption are comprehensively considered, and the number of cargos is distributed, and the cargos are distributed to each row of specific cargo grids,and the total logistics amount and energy consumption are reduced, and actual requirements are met.

Description

Technical field [0001] The invention belongs to the technical field of logistics and warehousing, and specifically relates to a method for optimizing cargo locations based on total logistics and energy consumption. Background technique [0002] As an advanced warehousing model, automated three-dimensional warehouse has the advantages of saving labor, improving warehousing management level, and reducing logistics costs. It is widely used in manufacturing enterprise warehousing. The traditional method of optimizing the cargo location just follows the habit and experience, storing the goods in a location that can accommodate the cargo, without considering the optimization management of the cargo location as a whole, which leads to slow in and out of the warehouse, low efficiency, and insufficient use of warehouse space. Can not meet the requirements of reducing costs and increasing efficiency. [0003] Although there are many researches on the problem of cargo location optimization, ...

AI Technical Summary

Problems solved by technology

The traditional storage space optimization method just follows the habit and experience, and stores the goods in the storage space that can accommodate the goods, without considering the optimization management of the storage space as a whole, resulting in slow entry and exit rhythm, low efficiency, and insufficient use of warehouse space. Cannot meet the requirements of cost reduction and efficiency increase

[0003] At present, although there are many studies on the optimization of storage space, most of them are based on the principle of storage efficiency and shelf stability, and the mathematical model of storage space optimization is established, which cannot well meet the actual needs.

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