Applications of the Part Process Model in Single and Small-Batch Production

The issues ofpre-production engineering automation, especially in single and small-batch production, remain highly relevant. Modernknowledgebase software toolscombined with actively developing artificial intelligence methods, including neural networks, creates the potential for the formation and development of fully autonomous automated design systems. Automatic reading graphic and text data from 2D drawings remains one of the key tasks of pre-production engineering automation. For single and small-batch production rapid introduction of new products is a critical factor, the relevance of using the technological model of apart (TMP) increases due to the need for rapid technological processadaptation. In this paper, TMP is presented as a formalized description of the geometric, structural, and technological characteristics of a product adapted to work with 2D drawings. The structured TMP includes blocks for data input, preprocessing, hierarchical structure formation, integration with technological data, analysis and optimization, as well as output of results. Using exclusively 2D drawings minimizes the time required to introduce new products, providing accuracy and adaptability to specific requirements. The paper proposesthe approach to pre-production engineering automation based on TMP and the graph method of searching for structural elements, demonstrating significant potential for improving production efficiency. The developed software system integrating graph analysis with optical character recognition technologies, successfully recognizes elements such as the central hole of a ring-type part and generates structured parameters ready for integration into automated production management systems.