Use este identificador para citar ou linkar para este item: http://www.repositorio.ufop.br/jspui/handle/123456789/5442
Título: The application of RFID in Brazilian harvest facilities : two case studies.
Autor(es): Ribeiro, Priscilla Cristina Cabral
Scavarda, Annibal José
Batalha, Mário Otávio
Palavras-chave: Identification technology
Evaluation
Beef supply chain
Harvest facility
Data do documento: 2011
Referência: RIBEIRO, P. C. C.; SCAVARDA, A. J.; BATALHA, M. O. The application of RFID in Brazilian harvest facilities: two case studies. International Journal of Engineering Business Management, p. 1-63, 2011. Disponível em: <https://journals.sagepub.com/doi/full/10.5772/45671>. Acesso em: 09 abr. 2015.
Resumo: Using the two case studies presented in this work, this article aims to evaluate identification technology used in the Brazilian cattle market. Although Brazil possesses large companies in this sector (one of which is the largest exporter of meat in the world) some of them have yet to implement information technology (IT) for cattle identification purposes. Radio Frequency Identification (RFID) is an IT that identifies cattle using electronic ear tags. This particular form of technology is especially accurate and dependable as it can be used to trace a product from the origin of conception to the consumer. This paper utilizes a qualitative approach – two case studies – which were created with the application of a questionnaire (open and closed questions). Using RFID for internal control purposes only, each of the sample companies has limited use of the technology. Instead, these companies use barcode systems to trace and identify cattle and to send important information to their supply chain partners.
URI: http://www.repositorio.ufop.br/handle/123456789/5442
DOI: https://doi.org/10.5772%2F45671
ISSN: 1847-9790
Licença: O periódico International Journal of Engineering Business Management permite o arquivamento da versão PDF do editor. Fonte: Sherpa/Romeo <http://www.sherpa.ac.uk/romeo/issn/1847-9790/> Acesso em: 02 jan. 2017.
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