RFID Applications to the Optimization of Discrete Manufacturing Process

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RFID Applications to the Optimization of Discrete Manufacturing Process IFSP – Federal Institute of Science Education and Technology São Paulo – Brazil by : Cesar da Costa. Proposal.
RFID Applications to the Optimization of Discrete Manufacturing ProcessIFSP – Federal Institute of Science Education and TechnologySão Paulo – Brazilby: Cesar da CostaProposal
  • This paper presents a study how radio-frequency identification (RFID) technology can contribute to the optimization of production process.
  • InitialConsiderations
  • Process manufacturing.
  • Discrete Manufacturing Process.
  • RFID applications into manufacturing plants.
  • IT Infrastructures in Manufacturing PlantRFID Technology: an OverviewWireless Communication
  • Frequency;
  • Signals;
  • Readers and antennas.
  • Case Study: Production Process for COOLERS
  • The reference model for production captures typical activities on the plant floor and the corresponding data management issues. The model focuses on activities that may be affected by introduction of RFID.
  • Production process for coolers.Electronic Traceability Stations
  • An electronic traceability station consists of RFID reader, HMI (Human Machine Interface), PLC and proprietary software. In Device Layer (IT infrastructure), production data is recorded by programmable logic controllers (PLCs).
  • Prototype electronic traceability stationBarriers to Implementation of RFID
  • Undoubtedly, there are a number of technical challenges to consider when implementing a technology-based project such as RFID.
  • Barriers to Implementation of RFID
  • Defining the requirements of the system, not in terms of hardware, but in terms of how the process should work, is an implementation issue that may not get the attention that it deserves until after the technology is in place.
  • Conclusion
  • The automation of object identification processes through RFID can help to increase the efficiency by reducing scan times and manual work, reduce errors due to manual data entry and analysis, and improve product tracking and tracing.
  • ENDShort Biography – Prof. Dr. Cesar da Costa- Phdcompleted in UNESP-Brazil.- Professional Master Studies in Universidade de Taubate (2005).- Specialization in FASP (2003).- Graduation in Electric Engineering in FRNL-Brazil (1980).- Graduation in ElectronicEngineering in CEFET-Brazil (1975).- Automation Specialist I and II (GE FANUC -USA - 1995).- GovernEmployee, Titular Professor - IFSP.
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