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Conceptual Model of a Digital Platform for Cyber-Physical Management of a Modern Enterprises. Part 2. Digital Services

https://doi.org/10.17587/mau.20.387-397

Abstract

The paper proposes conceptual model of a digital platform for cyber-physical management of manufacturing enterprises in the upcoming era of Industry 5.0, characterized by the vision of any business, including industrial production or logistics, as a complex adaptive system built on fundamental principles of self-organization and evolution, as well as interaction of artificial intelligence systems and people. The first part discusses principles of building a digital platform that can support operation of an enterprise within Industry 5.0 as a digital ecosystem of smart services. This part of the paper proposes typing of vasic platform services, lists the minimum set of services of each type, and gives description of their functionality. It also substantiates the leading role of multi-agent systems as a basic software architecture and technology for developing applications of the digital eco-systems. The paper provides examples of digital platforms and ecosystems of smart services for management of cargo transportation of the Russian Railways on the principles of "uberisation", life cycle of complex technical products, as well as enterprises of the plant-growing industry. It is shown that results are applicable to modern industrial corporations and enterprises in industry and agriculture, logistics, design, consulting and service.

About the Authors

V. I. Gorodetsky
Institute of Control Sciences, Russian Academy of Sciences
Russian Federation
Moscow


V. B. Laryukhin
Samara State Technical University
Russian Federation
Samara


P. O. Skobelev
Institute for the Control of Complex Systems RAS; SEC "Smart Solutions"
Russian Federation
Samara


References

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For citations:


Gorodetsky V.I., Laryukhin V.B., Skobelev P.O. Conceptual Model of a Digital Platform for Cyber-Physical Management of a Modern Enterprises. Part 2. Digital Services. Mekhatronika, Avtomatizatsiya, Upravlenie. 2019;20(7):387-397. (In Russ.) https://doi.org/10.17587/mau.20.387-397

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