Abstract
As smart factories are emerging, the importance of modeling and simulation (MS) 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 MS experts. Therefore, this paper eliminates this inefficiency and proposes an integrative user-level customized smart manufacturing MS 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.
| Original language | English |
|---|---|
| Article number | 8938776 |
| Pages (from-to) | 186637-186645 |
| Number of pages | 9 |
| Journal | IEEE Access |
| Volume | 7 |
| DOIs | |
| State | Published - 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- digital twin
- discrete event system
- Modeling and simulation
- smart manufacturing
- user-level customized
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