MODELING OF STRUCTURES IN DENTAL PRACTICE BASED ON SYSTEM ANALYSIS

Abstract

The relevance of this study is determined by the increasing complexity of technological processes for modeling structures in dental laboratory practice under conditions of digitalization, the growing requirements for accuracy, reproducibility, and consistent quality of prosthetic constructions, as well as the limitations of empirical approaches to the selection and adjustment of technological regimes. Under these conditions, the application of systems analysis becomes particularly important as a scientifically grounded methodological approach to modeling construction modeling processes in dental laboratory practice. This approach makes it possible to formalize multifactorial relationships and to enhance the controllability of production operations. The aim of the study is to develop and scientifically substantiate a system-oriented approach to modeling technological processes of construction modeling in dental laboratory practice. Its implementation is focused on improving management efficiency, the stability of technological regimes, and the quality of final outcomes in dental laboratory practice. Materials and methods. The study is based on the application of systems analysis, a structural and functional approach, and methods of formalized modeling of technological processes. Modern technological methods for modeling structures in dental laboratory practice were analyzed, the properties of the main structural elements of the production system were generalized, and the principles for constructing system models without the use of empirical adjustments were substantiated. Analytical methods of generalization, logical modeling, and comparative interpretation of the obtained results were applied. Scientific novelty. The scientific novelty lies in the substantiation of methodological principles for systembased modeling of construction modeling processes in dental laboratory practice as an integral technological system in which informational, material, and managerial levels are distinguished. The expediency of separating the informational level of technological preparation from physical implementation has been demonstrated, which creates conditions for outcome prediction and optimization of processing regimes. The main scientific and practical limitations in constructing system models have been identified, including the multifactorial nature of processes, variability of materials, and fragmentation of digital solutions. Conclusions. The study established that system-based modeling enhances the controllability of technological processes for construction modeling in dental laboratory practice and reduces the dependence of production decisions on empirical approaches. It was demonstrated that the use of system models makes it possible to identify critical process parameters, stabilize the quality of dental laboratory products, and improve the reproducibility of results. Further development of the models should focus on increasing their adaptability, integrating digital monitoring data, and expanding predictive capabilities. This defines a promising direction for scientific research in the field of digital dental laboratory practice