Research on Manufacturing Transformation and Upgrading Optimization Strategy Based on PLS-SEM Model

The upgrade and optimization strategy plays an important role in the transformation and upgrading of the manufacturing industry, but there is a problem of inaccurate optimization positioning. The traditional neural network algorithm cannot solve the upgrading and optimization problem in the transformation and upgrading of the manufacturing industry, and the effect is not ideal. Therefore, this paper proposes the positioning and early warning of upgrade optimization strategy based on PLS-SEM model, and analyzes the factor positioning and quality early warning. Firstly, the structural equation model theory is used to locate the influencing factors, and the indicators is divided according to the requirements of the upgrade optimization strategy to reduce the interference factors in the upgrade optimization strategy. Manufacturing industry is an important pillar of China's economy, but with the change of global economic structure and the adjustment of domestic economic structure, manufacturing industry is facing many challenges. In order to meet these challenges, the transformation and upgrading of manufacturing industry has become the only way. The upgrade optimization strategy and the time of the influencing factors of the upgrade optimization strategy.