<p>At present, cost control in the production of nano-ceramics is facing multidimensional and highly complex challenges. Most existing research has focused on cost measurement and local control measures, without systematically studying the optimal decision-making problem of enterprise lifecycle cost control measures. Therefore, the optimization control method of the production cost of nano-ceramics is studied. The preparation process and main processes of nano-ceramics are analyzed from different nano-ceramics preparation departments. This study follows the modeling approach of the House of Quality and constructs a “Cost Control House” analysis platform to address the optimization of cost control measures in the preparation process of nano-ceramics. The platform is quantitatively characterized in the form of a multi-level planning model, balancing the contradictions and conflicts between different cost control measures to achieve maximum cost control effectiveness. Taking nano-ceramics as an example, the practicality of this method is verified. The results indicate that for different nano-ceramic preparation processes, this method can effectively control costs and promote the transition of cost control from traditional empirical mode to system optimization mode. This study provides a scalable cost management framework for the field of complex material manufacturing.</p>

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Optimization Control Method of Production Cost of Nano-Ceramics

  • Honghong Wu

摘要

At present, cost control in the production of nano-ceramics is facing multidimensional and highly complex challenges. Most existing research has focused on cost measurement and local control measures, without systematically studying the optimal decision-making problem of enterprise lifecycle cost control measures. Therefore, the optimization control method of the production cost of nano-ceramics is studied. The preparation process and main processes of nano-ceramics are analyzed from different nano-ceramics preparation departments. This study follows the modeling approach of the House of Quality and constructs a “Cost Control House” analysis platform to address the optimization of cost control measures in the preparation process of nano-ceramics. The platform is quantitatively characterized in the form of a multi-level planning model, balancing the contradictions and conflicts between different cost control measures to achieve maximum cost control effectiveness. Taking nano-ceramics as an example, the practicality of this method is verified. The results indicate that for different nano-ceramic preparation processes, this method can effectively control costs and promote the transition of cost control from traditional empirical mode to system optimization mode. This study provides a scalable cost management framework for the field of complex material manufacturing.