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An Integrative User-Level Customized Modeling and Simulation Environment for Smart Manufacturing
- Source :
- IEEE Access, Vol 7, Pp 186637-186645 (2019)
- Publication Year :
- 2019
- Publisher :
- IEEE, 2019.
-
Abstract
- As smart factories are emerging, the importance of modeling and simulation (M&S) continues to increase in the production system. As a result, various commercial tools and environments are provided for production simulation, and manufacturing companies are also applying them to establish a smart manufacturing system. This is used in various ways, such as optimal layout design, scheduling, and fault diagnosis using the acquired smart manufacturing model. However, these model constructions are generally done through a stand-alone environment in which the work type or user level is not considered. It is necessary to use different environments depending on the user level or to rely on M&S experts. Therefore, this paper eliminates this inefficiency and proposes an integrative user-level customized smart manufacturing M&S environment for all users in the production system. It provides three-phase modeling environments appropriate for the user level, including an automatic model synthesis interface and a production line generator. Using this environment, anyone can easily make capacity and logistic models, and simulate them.
- Subjects :
- Production line
0209 industrial biotechnology
General Computer Science
Computer science
business.industry
General Engineering
Scheduling (production processes)
Modeling and simulation
user-level customized
02 engineering and technology
020901 industrial engineering & automation
digital twin
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
General Materials Science
smart manufacturing
lcsh:Electrical engineering. Electronics. Nuclear engineering
discrete event system
Inefficiency
Software engineering
business
lcsh:TK1-9971
Smart manufacturing
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 7
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....65bde68dd65200c5ff9426e1c7fbd647