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Performance analysis of the RFID system for optimal design of the intelligent assembly line in the learning factory (CROSBI ID 265186)

Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija

Gjeldum, Nikola ; Mladineo, Marko ; Crnjac, Marina ; Veža, Ivica ; Aljinović, Amanda Performance analysis of the RFID system for optimal design of the intelligent assembly line in the learning factory // Procedia manufacturing, 23 (2018), 63-68. doi: 10.1016/j.promfg.2018.03.162

Podaci o odgovornosti

Gjeldum, Nikola ; Mladineo, Marko ; Crnjac, Marina ; Veža, Ivica ; Aljinović, Amanda

engleski

Performance analysis of the RFID system for optimal design of the intelligent assembly line in the learning factory

New industrial revolution, called Industry 4.0, is based on the evolution of information-communication technology. It creates a new challenges for the scientific and industrial community, but it also creates a specific challenge to demonstrate this new industrial platform in the learning factory environment. One significant and interesting topics for demonstration of Industry 4.0 is to track manufacturing execution by using the RFID (radio-frequency identification) system. Thus, creating a system called RFID-enabled Manufacturing Execution System (MES). RFID technology is interesting, because it enables, not just identification of some product like barcode technology, but it enables writing the data on the RFID tag attached to the product (data about process times, ERP product data, or similar). This kind of live tracking of manufacturing execution can significantly improve production planning, especially for the small-lot and single-item production, and learning factories are, in the most cases, oriented to this type of production. However, RFID technology has its limitations, also. In this research, a performance of the industrial RFD system has been experimentally tested. Presented results give guidelines for the design of the intelligent assembly line in the learning factory at University of Split, regarding the limitations of the RFID systems.

Learning Factory ; Industry 4.0 ; RFID

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Podaci o izdanju

23

2018.

63-68

objavljeno

2351-9789

10.1016/j.promfg.2018.03.162

Povezanost rada

Informacijske i komunikacijske znanosti, Strojarstvo

Poveznice
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