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Pregled bibliografske jedinice broj: 1002798

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


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 (međunarodna recenzija, članak, znanstveni)


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

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

Izvornik
Procedia manufacturing. (2351-9789) 23 (2018); 63-68

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Learning Factory ; Industry 4.0 ; RFID

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
IP-2013-11-1353 - Inovativno pametno poduzeće (INSENT) (Veža, Ivica, HRZZ - 2013-11) ( CroRIS)

Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi

Citiraj ovu publikaciju:

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 (međunarodna recenzija, članak, znanstveni)
Gjeldum, N., Mladineo, M., Crnjac, M., Veža, I. & Aljinović, A. (2018) Performance analysis of the RFID system for optimal design of the intelligent assembly line in the learning factory. Procedia manufacturing., 23, 63-68 doi:10.1016/j.promfg.2018.03.162.
@article{article, author = {Gjeldum, Nikola and Mladineo, Marko and Crnjac, Marina and Ve\v{z}a, Ivica and Aljinovi\'{c}, Amanda}, year = {2018}, pages = {63-68}, DOI = {10.1016/j.promfg.2018.03.162}, keywords = {Learning Factory, Industry 4.0, RFID}, journal = {Procedia manufacturing.}, doi = {10.1016/j.promfg.2018.03.162}, volume = {23}, issn = {2351-9789}, title = {Performance analysis of the RFID system for optimal design of the intelligent assembly line in the learning factory}, keyword = {Learning Factory, Industry 4.0, RFID} }
@article{article, author = {Gjeldum, Nikola and Mladineo, Marko and Crnjac, Marina and Ve\v{z}a, Ivica and Aljinovi\'{c}, Amanda}, year = {2018}, pages = {63-68}, DOI = {10.1016/j.promfg.2018.03.162}, keywords = {Learning Factory, Industry 4.0, RFID}, journal = {Procedia manufacturing.}, doi = {10.1016/j.promfg.2018.03.162}, volume = {23}, issn = {2351-9789}, title = {Performance analysis of the RFID system for optimal design of the intelligent assembly line in the learning factory}, keyword = {Learning Factory, Industry 4.0, RFID} }

Časopis indeksira:


  • Scopus


Citati:





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