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ONTOLOGY FOR MASS PRODUCTION MANAGEMENT

Apeshin Dmitry Nikolaevich  (отношения онтологий. Apeshin Dmitry Nikolaevich, Volga State University of Telecommunications and Informatics, Samara )

Vorobev Artem Vladimirovich  (Volga State University of Telecommunications and Informatics, Samara)

Zakharova Oksana Igorevna  (associate professor, candidate of technical sciences, Research Laboratory of II, Volga Region State University of Telecommunications and Informatics, Samara, Russia)

In the modern era of industrial transformations, the concept of ontologies becomes particularly relevant in the context of mass production. Ontologies, as formalized models of subject areas, provide unique tools for structuring and describing the knowledge necessary to optimize processes, manage data and improve the efficiency of production chains. The research is driven by a desire to understand how ontologies contribute to process improvement and support innovative management approaches in modern industrial environments. The article describes an approach to structuring information from manufacturing enterprises. Involved in the design and modeling of an ontological model with visualization in the form of a semantic connection between classes, relationships, constraints and axioms. As a result, the OntoMFG ontology was developed for mass production management. During the analysis and design, the main elements of the model were identified and connected by relationships between them, and restrictions and axioms were also developed for the correct behavior of the system. Using the developed method, mass production problems can be solved, including both the production process itself and the organizational process within the enterprise.

Keywords:ontology, ontological modeling, object model, Neo4j, ontological engineering, automated construction, Web Ontology Language, OntoMFG, ontology classes, ontology restrictions, ontology axioms, ontology relations
 

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Citation link:
Apeshin D. N., Vorobev A. V., Zakharova O. I. ONTOLOGY FOR MASS PRODUCTION MANAGEMENT // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2024. -№03. -С. 9-17 DOI 10.37882/2223-2966.2024.03.02
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