MANAGEMENT OF VALUE-ADDED REPRODUCTION CHAINS IN PRODUCTION SYSTEMS BASED ON A COGNITIVE APPROACH
( Pp. 18-23)

More about authors
Niyaz M. Abdikeev Dr. Sci. (Eng.), Professor, Director of the Institute of Financial and Industrial Policy
Financial University under the Government of the Russian Federation
Moscow, Russian Federation Losev Anton Alekseevich zamestitel rukovoditelya Departamenta analiza dannyh, prinyatiya resheniy i finansovyh tehnologiy
Financial University under the Government of the Russian Federation
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.
How to Cite:
Niyaz M.A., Losev A.A., (2019), MANAGEMENT OF VALUE-ADDED REPRODUCTION CHAINS IN PRODUCTION SYSTEMS BASED ON A COGNITIVE APPROACH. Computational Nanotechnology, 4 => 18-23.
Reference list:
Kognitivnaya biznes-analitika / Pod red. N.M. Abdikeeva. M.: INFRA-M, 2011. 511 s. Cognitive business Analytics // Ed. by N.M. Abdikeev. M.: INFRA-M, 2011. 511 p.
Abdikeev N.M. Tekhnologii kognitivnogo menedzhmenta v tsifrovoy ekonomike // Mir novoy ekonomiki. 2017. № 3. S. 24-28. Abdikeev N.M. Cognitive technology management in the digital economy. The World of the New Economy. 2017. No. 3. P. 24-28.
htt s://bluecrux.com/wp-content/uploads/2018/05/IDC-FutureS- cape-Worldwide-Manufacturing-2018-Predictions.pdf
Detmer U. Teoriya ogranicheniy Goldratta: sistemnyy podkhod k nepreryvnomu sovershenstvovaniyu. M.: Al pina Pablisher, 2012. 443 s. Detmer W. Goldratt s theory of constraints: a systematic approach to continuous improvement. M.: Alpina Publisher, 2012. 443 p.
Gaydamaka A.I., Losev A.A., Abdikeev N.M. Mezhotraslevoy marketpleys dlya uchastnikov sozdaniya novykh vysokotekhnologichnykh produktov // V kn.: Paradigmy tsifrovoy ekonomiki: Tekhnologii iskusstvennogo intellekta v finansakh i fintekhe: monografiya / Pod red. M.A. Eskindarova, V.I. Solov eva. M.: Kogito-TSentr, 2019. 325 s. 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.
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 .
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
Tomas T. The Connection Between Smart Manufacturing and IoT. URL: https://www.manufacturing.net/article/2018/07/connection- between-smart-manufacturing-and-iot
Keywords:
production system, cognitive model, digital platform, high-tech products, diversification of production, production of components, production chains.


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