Статья

Semantic Modelling for the Communication Mechanism of the Production System

A. Karlik, E. Iakovleva, V. Platonov,
2021

The study deals with the application of intelligent management technologies to support communicative mechanisms in the modern production environment based on the analytical tools which apply the cognitive approach, namely, the semantic modelling. It supports the application of the situation analysis for strategic control based on the principle of management metafunctions. The article presents the semantic model of a discrete situational network in the form of a network graph. It is designed to contribute to the implementation of the communicative strategies to facilitate the decision-making under digitalization. The analytical procedure also designed for decision-making on municipal level that is important under tough budget constraints conditioned by the COVID-19 pandemic. The main result of the study is the semantic model of the communicative mechanism of the production system. The proposed intelligent solutions are risk-sensitive because it accounts for the significant exposures. The systematization of the order of interaction under implementation of the cyber-physical systems, production cooperation and communication within the specialization network chain allow to apply the system analysis to the communicative processes that enable information transfer. The article is designed to contribute to the system theory and methodology by application of logical-linguistic analysis and modeling as well as by combining adaptive management and semiotic approach in application to the communicative mechanism of production systems.

Цитирование

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Источник

Версии

  • 1. Version of Record от 2021-01-01

Метаданные

Об авторах
  • A. Karlik
    St. Petersburg State University of Economics
  • E. Iakovleva
    St. Petersburg State University of Economics
  • V. Platonov
    St. Petersburg State University of Economics
Название журнала
  • Lecture Notes in Networks and Systems
Том
  • 184
Страницы
  • 355-366
Финансирующая организация
  • Russian Foundation for Basic Research
Номер гранта
  • 010-00257
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC BY
Правовой статус документа
  • Свободная лицензия
Источник
  • scopus