THEORETICAL AND METHODOLOGICAL ASPECTS OF MODELING TECHNOLOGICAL PROCESSES AND SYSTEMS

Abstract

The article examines the theoretical and methodological aspects of applying the modeling method as one of the key tools for research, design, and optimization of technological processes and systems in modern engineering. In particular, the authors emphasize that the theoretical justification and methodological analysis of using modeling methods for technological processes and systems ensure the formation of a scientifically grounded research methodology, enhance the efficiency of scientific experiments, and create a solid foundation for the further development and implementation of effective models in engineering practice. The epistemological functions of models are analyzed, and the specifics of their applicability are determined. The modeling methodology is considered as an iterative process that includes the main stages of the modeling procedure from problem formulation, hypothesis development, conceptual model construction, formalization, algorithm design, and software implementation to experimentation, analysis, and interpretation of results. It is emphasized that each stage requires verification of the model’s correspondence to the real object, which is ensured by analyzing its adequacy and serves as a determining factor for obtaining reliable results. It is substantiated that the use of modeling opens up new opportunities for conducting virtual experiments aimed at optimizing the parameters of technical systems, analyzing their behavior under different conditions, and testing hypotheses. This contributes to improving the reliability of the obtained results, integrating theoretical knowledge into practical experience, and fostering the development of innovative technologies and interdisciplinary approaches in modern engineering.