Research on the impact of intelligent thermal management system on the cost efficiency of hybrid manufacturing enterprises

With the transformation of manufacturing towards intelligence, the importance of thermal management systems in improving production efficiency and reducing costs is becoming increasingly prominent. The study reviewed the existing research results and pointed out the shortcomings of the application of existing thermal management systems in hybrid manufacturing enterprises. On this basis, an intelligent thermal management system was designed, including modules such as heat generation model, cooling model, temperature prediction, and thermal management effect evaluation. The heat generation model simulates the distribution of heat sources during the production process, while the cooling model evaluates the effectiveness of different cooling strategies. The temperature prediction model combined with machine learning algorithms has improved the accuracy of temperature prediction, ultimately achieving quantitative evaluation of thermal management effectiveness. This article uses quantitative methods to analyze the cost-effectiveness of mixed manufacturing enterprises, with a focus on their production characteristics, quality benefits, and manufacturing unit design. Research has shown that reasonable thermal management can not only effectively reduce energy consumption, but also bring significant improvements in quality management, thereby supporting enterprises to implement more comprehensive cost-benefit control. Research has proposed optimization capability evaluation indicators and specific application strategies for cost-effectiveness optimization strategies in mixed manufacturing enterprises. Through the analysis of practical cases, the results show that after implementing the intelligent thermal management system, the overall production efficiency and economic benefits of the enterprise have significantly improved, providing useful practical guidance.