Design methodology system models of workflows using subject-oriented metalanguages

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Introduction. Currently, the organization of industrial enterprises digital production that produce complex science-intensive products is complicated by the differently of semantic data, the discrepancy of software systems, and requires a uniform integrated data management platform. Aim. The purpose of the article is to consider a systematic approach to the formation of a meta-architecture of an information platform for the researched problem area with contradictory relations (a priori undetermined). Materials and methods. It is necessary to apply and to form certain sequence application of system modeling metalanguages, high-level programming according to the hierarchy rules of Chomsky’s generating languages and semantic logic (ontology) of the researched problem area. That provides a consistent reduction of the semantic properties of the problem area in their syntactic representations. It is proposed to use mathematical methods, system engineering methods, and Teamcenter PLM software for system modeling of approving design and technological documentation business process to CALS methodology. Results. The paper proposes a conceptual approach for the construction and development of a subject - oriented meta-architecture of the digital platform UIS. It is shown that to exclude existing contradictions in the problem area, it is necessary to design direct and reverse “workflows” models in the digital document management system. The results of the existing CASE methodology analysis for effective integration with the Teamcenter PLM system are presented. Conclusion. The system modeling proposed methodology extends the application of the metaarchitecture of the digital model UIS and allows evaluating of the software effectiveness.

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Plm-система, teamcenter, metalanguages, category theory formalization, information platform, system engineering standard, plm-system, business process modeling, workflow design, cross-platform programming

Короткий адрес: https://sciup.org/147233757

IDR: 147233757   |   DOI: 10.14529/ctcr200205

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