A method for product change plan design based on multi-objective particle swarm optimization

Abstract

The invention discloses a product change plan design method based on multi-objective particle swarm optimization. For any given product to be changed, firstly, a complex product multi-network model that introduces service performance is established; then, through decoupling change The impact of strongly associated nodes on service performance in effect propagation, generate a multi-objective solution model including three evaluation indicators of service performance impact degree, change cost and change time; then, use an integer multi-objective particle swarm optimization algorithm to solve multiple The target model is used to obtain a group of optimal change schemes; finally, the fuzzy decision-making method is used to obtain an optimal change scheme that meets user needs. The change scheme obtained in the present invention has stronger operability, and the obtained change scheme can simultaneously cover key nodes on multiple transmission paths, which is more in line with actual design requirements. By setting appropriate constraints, the feasibility of the change scheme can be ensured to the greatest extent.

Description

technical field [0001] The invention belongs to the field of product design, and in particular relates to a method for designing a product change scheme based on multi-objective particle swarm optimization. Background technique [0002] Design changes are an inevitable link in the product development process. Unreasonable design changes will not only increase the cost of product development, but also significantly affect product service performance. In real production, affected by subjective and objective reasons such as iterative product upgrades, supply chain breaks and blockages, and amendments to laws and regulations, it is often necessary to redesign or select product parts. More importantly, a change to a critical part propagates and affects other associated parts in the product. For the complex product design (CPD) problem with a large number of parts and close connections, if the product design change process is not effectively analyzed and controlled, the change wi...

AI Technical Summary

Problems solved by technology

After determining the optimal change propagation path, existing modeling methods consider that all affected nodes in the path need to be changed

However, in reality, it is often difficult or even impossible to change some parts

If such parts happen to be included in the selected optimal path, the path cannot be implemented or the implementation cost is unacceptable

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