MANAGEMENT OF VALUE-ADDED REPRODUCTION CHAINS IN PRODUCTION SYSTEMS BASED ON A COGNITIVE APPROACH


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

The Concept of competitive value chains in production systems, as an institutional structure operating on network principles, was the impetus for the development of a system of models of inter-industry digital platform for the management and optimization of cooperation of high-tech network production systems. The paper describes the process of working with the cognitive model of decision support in the management of value chains in production systems, the algorithm for constructing a conflict resolution diagram, the ways of integrating it into business processes in interaction with other models, for example, simulation. The practical implementation of the system of such models is a separate software product-an intersectoral digital platform for participants to create new high-tech products and their components.

Full Text

Restricted Access

About the authors

Niyaz Mustjakimovich Abdikeev

Financial University under the Government of the Russian Federation

Email: NAbdikeev@fa.ru
Dr. Sci. (Engineering), professor; director of the Institute for Industrial Policy and Institutional Development Moscow, Russian Federation

Anton Alekseevich Losev

Financial University under the Government of the Russian Federation

Email: ALosev@fa.ru
deputy Head of the Department of Data Analysis, Decision Making and Financial Technology Moscow, Russian Federation

References

  1. Когнитивная бизнес-аналитика / Под ред. Н.М. Абдикеева. М.: ИНФРА-М, 2011. 511 с. [Cognitive business Analytics // Ed. by N.M. Abdikeev. M.: INFRA-M, 2011. 511 p.]
  2. Абдикеев Н.М. Технологии когнитивного менеджмента в цифровой экономике // Мир новой экономики. 2017. № 3. С. 24-28. [Abdikeev N.M. Cognitive technology management in the digital economy. The World of the New Economy. 2017. No. 3. P. 24-28.]
  3. htt s://bluecrux.com/wp-content/uploads/2018/05/IDC-FutureS- cape-Worldwide-Manufacturing-2018-Predictions.pdf
  4. Детмер У. Теория ограничений Голдратта: системный подход к непрерывному совершенствованию. М.: Альпина Паблишер, 2012. 443 с. [Detmer W. Goldratt's theory of constraints: a systematic approach to continuous improvement. M.: Alpina Publisher, 2012. 443 p.]
  5. Гайдамака А.И., Лосев А.А., Абдикеев Н.М. Межотраслевой маркетплейс для участников создания новых высокотехнологичных продуктов // В кн.: Парадигмы цифровой экономики: Технологии искусственного интеллекта в финансах и финтехе: монография / Под ред. М.А. Эскиндарова, В.И. Соловьева. М.: Когито-Центр, 2019. 325 с. [Gajdamaka A.I., Losev A.A., Abdikeev N.M. Intersectoral marketplace for participants to create new high-tech products // In the book: The Paradigms of the Digital Economy: Artificial Intelligence, Technologies in Finance and Fintech: monograph / Ed. by M.A. Eskindarova, V.I. Solovyov. M.: Kogito-Center, 2019. 325 p.]
  6. Burke R., Mussomeli A., Laaper S., Hartigan M., Sniderman B. The smart factory: Responsive, adaptive, connected manufacturing, USA, Deloitte University Press. 2017. URL: http://www.smartfactory-owl.de/index.php/en/industry-4-0 [Google Scholar].
  7. Knickle K., Ellis S. IDC Future Scape: Worldwide Manufacturing 2018. Predictions. 2017. URL: https://www.bluecrux.com/wp-content/ uploads/2018/05/IDC-FutureScape-Worldwide-Manufacturing- 2018-Predictions.pdf
  8. Tomas T. The Connection Between Smart Manufacturing and IoT. URL: https://www.manufacturing.net/article/2018/07/connection- between-smart-manufacturing-and-iot

Supplementary files

Supplementary Files
Action
1. JATS XML


This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies