Whale optimization algorithm-based multi-target semi-automatic assembly line design method

Abstract

The invention relates to a whale optimization algorithm-based multi-target semi-automatic assembly line design method. The method comprises the following steps: S1, obtaining basic parameters of a semi-automatic assembly line; s2, establishing a multi-objective optimization model of beat, energy consumption and cost according to the obtained basic parameters; and S3, solving the multi-objective optimization model according to a multi-objective whale optimization algorithm designed based on chaotic mapping and variable neighborhood search to obtain a semi-automatic assembly line design scheme under optimal beat, energy consumption and cost balance. Compared with the prior art, the multi-objective optimization model established by the invention comprises three objectives of beat, energy consumption and cost and related constraint conditions, the optimal solution of the model is more beneficial to improving the production efficiency of the semi-automatic assembly line, the operation costand energy loss of the semi-automatic assembly line can be reduced, and the semi-automatic assembly line with low cost, low energy consumption and high efficiency can be constructed.

Description

technical field [0001] The invention relates to the technical field of product assembly, in particular to a multi-objective semi-automatic assembly line design method based on a whale optimization algorithm. Background technique [0002] Semi-automatic assembly line refers to the assembly line that has manual stations, semi-automatic stations and fully automatic stations in the assembly line. It also has the advantages of high flexibility and high efficiency. In the fields of automobiles and home appliances, semi-automatic assembly lines are still the most widely used assembly lines. At present, enterprises often rely on the experience of engineers to design semi-automatic assembly lines. This method is usually not optimal, and it is easy to lead to low production efficiency and huge energy consumption. [0003] At present, there are a small number of literatures at home and abroad that have carried out relevant research on the design of semi-automatic assembly lines. Howev...

AI Technical Summary

Problems solved by technology

However, most of the existing technologies only consider time or production efficiency, and take the balance rate as the optimization target. The existing problems are as follows: on the one hand, there are very few corresponding research technologies related to the energy consumption during the operation of the semi-automatic assembly line. On the other hand, there are very few research technologies that take the construction cycle, energy consumption and cost as the optimization goals together.

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