Author
Listed:
- Cesar Da Costa
(IFSP - Federal Institute of Sao Paulo, Brazil)
- Rafael G. Vastag
(IFSP- Federal Institute of Sao Paulo, Brazil)
- Milena M. de Campos
(IFSP- Federal Institute of Sao Paulo, Brazil)
Abstract
One of the main problems encountered in production processes is data acquisition on the factory floor. With the increase in production complexity, the amount of data to be collected increases. Currently, data are collected both manually and automatically. The manual collection involves documentation in a folder and storing in a separate room. However, there are other types of data that are automatically recorded into an information system. The data are registered and processed in different systems, which depend on the production stage in which the data are collected. The evolution of wireless technologies, such as wireless local area networks, sensor networks, and radiofrequency identification (RFID) systems, has favored the creation of mobile services related to the ??computing aspect. Therefore, this paper presents a model of the implementation of an electronic identification system based on RFID technology, for application in automatic traceability of products in a didactic manufacturing cell installed in the programmable logic controller (PLC) network laboratory of the São Paulo Institute, Brazil.
Suggested Citation
Cesar Da Costa & Rafael G. Vastag & Milena M. de Campos, 2019.
"Implementation of a RFID Technology-Based Automatic Traceability System for Industry 4.0,"
European Journal of Engineering and Technology Research, European Open Science, vol. 4(8), pages 15-18, August.
Handle:
RePEc:epw:ejeng0:v:4:y:2019:i:8:id:61457
DOI: 10.24018/ejeng.2019.4.8.1457
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:4:y:2019:i:8:id:61457. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.