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A new paradigm for organizing networks of computer numerical control manufacturing resources in cloud manufacturing
- Source :
- Procedia Manufacturing. 26:1318-1329
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Cloud manufacturing is quickly emerging as an infrastructure-as-a-service (IaaS), analogue for distributed production and supply chains, that integrates manufacturing providers and customers. This paper develops a cloud-based cyberphysical platform as a new service for spawning and organizing cloud manufacturing networks of computer numerical control (CNC) resources, provisioned and managed over the internet. The proposed layered architecture consists of hardware, virtualization, operating system, and network layers. Using modern web development technology, an operating system is created that services and virtualizes manufacturing resources in the network. This operating system offers a new, and much-needed model for physical resources and application software distribution in Cloud Manufacturing. The platform is designed with a micro-service architecture, that is used for manufacturing nodes and software applications or ‘assets’, and implemented in a Mongo, Express, Angular, Node (MEAN) stack.
- Subjects :
- 0209 industrial biotechnology
Service (systems architecture)
business.industry
Computer science
Multitier architecture
Node (networking)
Distributed computing
020208 electrical & electronic engineering
Cloud computing
Provisioning
02 engineering and technology
Application software
computer.software_genre
Virtualization
Industrial and Manufacturing Engineering
020901 industrial engineering & automation
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Cloud manufacturing
business
computer
Subjects
Details
- ISSN :
- 23519789
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- Procedia Manufacturing
- Accession number :
- edsair.doi...........2e11e2f300f9540e40252fa4a9d6965c
- Full Text :
- https://doi.org/10.1016/j.promfg.2018.07.132