Research on Optimization Strategy of Production Line in Aviation Manufacturing Enterprises Based on Machine Learning

Facing the characteristics of China's aviation manufacturing enterprises, such as multi-variety, small batch and numerous influencing factors, including production line related indicators (including maintenance costs, equipment failure rates, product types, production capacity, etc.), this article uses the establishment of a proxy model instead of a production line industrial process simulation model, and based on the NSGA2 genetic algorithm, establishes objective and constraint functions for two products on a unified production line and optimizes them. This study proposes an optimization method that provides solid data support for optimizing the influencing factors of actual production lines.