Relevance. In the context of industrial digital transformation and increasing demands for economic efficiency and product quality, methods enabling in-depth analysis and optimization of production systems are becoming particularly significant. This is especially true for high-tech industries, such as the manufacturing of dental materials, where stringent quality control at every stage is critically important. The application of advanced modeling methodologies to address these challenges represents a highly relevant research direction. Problem. The key problem investigated in this work is the suboptimal architecture of the quality control system in production processes, specifically its terminal, rather than distributed, location within the technological chain. This leads to systemic deficiencies: the irrational use of resources for processing initially defective raw materials and the passage of defects arising during processing into finished products, resulting in significant economic losses and reduced overall production efficiency. Methods. To address this problem, the study employs the methodology of system-object modeling, which allows the production process to be represented as an integrated system of interconnected elements. Based on this methodology, a simulation model for the production of the dental material «DentalCast 50 Type 4» was developed, serving as the primary tool for verifying the problem and analyzing optimization opportunities. Results. The computer simulation clearly demonstrated the inefficiency of the existing system with terminal control. Based on the analysis of the results, a comprehensive optimization measure was proposed and modeled – the implementation of a distributed control system throughout the entire technological chain. The simulation confirmed that this approach minimizes operational costs through early defect detection and significantly enhances the overall system efficiency while ensuring consistently high product quality. Conclusions. The developed approach demonstrates the high practical value of the system-object modeling methodology for solving current production optimization tasks. The obtained results indicate that the transition from terminal to distributed quality control fundamentally improves the production process efficiency. The findings and proposals of the research possess universality and can be successfully applied not only in dental materials science but also in other industrial sectors for optimizing complex technological processes.
Relevance. In the context of industrial digital transformation and increasing demands for economic efficiency and product quality, methods enabling in-depth analysis and optimization of production systems are becoming particularly significant. This is especially true for high-tech industries, such as the manufacturing of dental materials, where stringent quality control at every stage is critically important. The application of advanced modeling methodologies to address these challenges represents a highly relevant research direction. Problem. The key problem investigated in this work is the suboptimal architecture of the quality control system in production processes, specifically its terminal, rather than distributed, location within the technological chain. This leads to systemic deficiencies: the irrational use of resources for processing initially defective raw materials and the passage of defects arising during processing into finished products, resulting in significant economic losses and reduced overall production efficiency. Methods. To address this problem, the study employs the methodology of system-object modeling, which allows the production process to be represented as an integrated system of interconnected elements. Based on this methodology, a simulation model for the production of the dental material «DentalCast 50 Type 4» was developed, serving as the primary tool for verifying the problem and analyzing optimization opportunities. Results. The computer simulation clearly demonstrated the inefficiency of the existing system with terminal control. Based on the analysis of the results, a comprehensive optimization measure was proposed and modeled – the implementation of a distributed control system throughout the entire technological chain. The simulation confirmed that this approach minimizes operational costs through early defect detection and significantly enhances the overall system efficiency while ensuring consistently high product quality. Conclusions. The developed approach demonstrates the high practical value of the system-object modeling methodology for solving current production optimization tasks. The obtained results indicate that the transition from terminal to distributed quality control fundamentally improves the production process efficiency. The findings and proposals of the research possess universality and can be successfully applied not only in dental materials science but also in other industrial sectors for optimizing complex technological processes.