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Conceptual Model of a Digital Platform for Cyber-Physical Management of a Modern Enterprises. Part 2. Digital Services
- Source :
- Mekhatronika, Avtomatizatsiya, Upravlenie. 20:387-397
- Publication Year :
- 2019
- Publisher :
- New Technologies Publishing House, 2019.
-
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.
- Subjects :
- Self-organization
0209 industrial biotechnology
Service (systems architecture)
Engineering
021103 operations research
business.industry
Industrial production
media_common.quotation_subject
0211 other engineering and technologies
02 engineering and technology
Manufacturing enterprises
Computer Science Applications
Human-Computer Interaction
Engineering management
Digital ecosystem
020901 industrial engineering & automation
Artificial Intelligence
Control and Systems Engineering
Conceptual model
Electrical and Electronic Engineering
Software architecture
Complex adaptive system
business
Software
media_common
Subjects
Details
- ISSN :
- 26191253 and 16846427
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- Mekhatronika, Avtomatizatsiya, Upravlenie
- Accession number :
- edsair.doi...........2552b4fb93a4a0399d2bfd4f34b8995d
- Full Text :
- https://doi.org/10.17587/mau.20.387-397