MODEL FOR TRACEABILITY, VISIBILITY AND COMPONENT IDENTIFICATION IN THE AUTOMOTIVE INDUSTRY THROUGH RFID TECHNOLOGY

1 KOLAROVSZKÁ Zuzana
Co-authors:
1 KOLAROVSZKI Peter 1 TENGLER Jiří 2 PERAKOVIĆ Dragan
Institutions:
1 University of Žilina, Faculty of PEDAS, Žilina, Slovak Republic, EU, zuzana.kolarovszka@fpedas.uniza.sk, peter.kolarovszki@fpedas.uniza.sk, jiri.tengler@fpedas.uniza.sk
2 University of Zagreb, Faculty of Transport and Traffic Sciences, Zagreb, Croatia, EU, dragan.perakovic@fpz.hr
Conference:
7th Carpathian Logistics Congress, ALEXANDRA WELLNESS HOTEL, Liptovsky Jan, Slovakia, EU, June 28th - 30th 2017
Proceedings:
Proceedings 7th Carpathian Logistics Congress
Pages:
136-141
ISBN:
978-80-87294-74-1
ISSN:
2694-9318
Published:
30th November 2017
Proceedings of the conference were published in Web of Science.
Metrics:
470 views / 205 downloads
Abstract

The article primarily deals with the application of AIDC technologies in logistic chain as well as connections with the issue of visibility, traceability and smart component identification in automotive industry. It describes the current state of automotive industry in Slovakia and the necessity of accurate identification of components with emphasis on the prevention of their counterfeiting, which can be achieved by standardized solutions. It focuses on RFID technology as a form of automatic identification and data collection and also Electronic Product Code (EPC standard). The article briefly specifies model which was created to ensure visibility and traceability and also describes software solution for component identification in automotive industry. Created web application presents a model for the registration and identification of transport and logistics units on a standardized EPC basis. It is also a model in which we point out the potential of goods identification through RFID technology across logistics chains in the automotive industry.

Keywords: Electronic Product Code, Visibility, Model, AIDC technologies, Automotive

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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