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Fog-based Logistic Application Modeling in an Industry 4.0 Framework
| Content Provider | Scilit |
|---|---|
| Author | Bouzarkouna, Imen Sahnoun, M’Hammed Baudry, David Benatia, Mohamed Amine Gout, Christian |
| Copyright Year | 2020 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering The industrial growth introduced the Industry 4.0 revolution, which uses several IoT-based technologies to manage the huge amount of data generated by its connected systems. This revolution aims to exchange data between the different parts and improve the performance of the manufacturing process. Facing several limitations, this paradigm needs the Fog Computing to ameliorate the Cloud services and the distribution of real-time decision-making and the secure and interoperable data analysis. The internal logistics presents the need to transmit and treat the data in real-time to take a more efficient decisions in a shorter delay. The Fog-based architecture is composed of terminal devices, Edge, Fog and Gateway devices. A model is presented to optimize the Fog integration (The cost of the links and nodes). Experimental results of an exact method optimization using Fico Xpress show a reduction of the Fog Computing integration cost in an internal logistic center. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/842/1/012026/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/842/1/012026 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 1 |
| Volume Number | 842 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-05-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Industrial Engineering Decision Making Fog Based Real Time Fog Computing Internal Logistics |
| Content Type | Text |
| Resource Type | Article |
