Skip to main content

A Survey on RFID in Industry 4.0

  • Chapter
  • First Online:
Internet of Things for Industry 4.0

Abstract

The primary function of radio-frequency identification (RFID) technology is automated identification and data capture (AIDC). RFID systems are widely applied in current industries due to guarantee of decrease in cost and size and increase in reliability and performance. New industrial revolution, as known as Industry 4.0, is based on the evolutions and conversions of core technologies, such as Internet of Things, big data, artificial intelligence, mobile, and cloud. This article aims to address and review the core technologies of Industry 4.0 studies on the viewpoint of RFID. The article classifies role of RFID technologies in IoT, big data, and other areas. Moreover, this article provides an insight of potentiality of RFID technology in Industry 4.0. The sources of this study are most recent journal papers, conference papers, and web references.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ozguven, E. E., & Ozbay, K. (2015). An RFID-based inventory management framework for emergency relief operations. Transportation Research Part C: Emerging Technologies, 57, 166–187.

    Article  Google Scholar 

  2. Cai, H. B., Andoh, A. R., Su, X., & Li, S. (2014). A boundary condition based algorithm for locating construction site objects using RFID and GPS. Advanced Engineering Informatics, 28(4), 455–468.

    Article  Google Scholar 

  3. Zhong, R. Y., Dai, Q. Y., Qu, T., Hu, G. J., & Huang, G. R. (2013). RFID-enabled real-time manufacturing execution system for mass customization production. Robotics and Computer-Integrated Manufacturing, 29(2), 283–292.

    Article  Google Scholar 

  4. Zhong, R. Y., Li, Z., Pang, L. Y., Pan, Y., Qu, T., & Huang, G. Q. (2013). RFID-enabled real-time advanced planning and scheduling shell for production decision making. International Journal of Computer Integrated Manufacturing, 26(7), 649–662.

    Article  Google Scholar 

  5. Wong, W. K., Guo, Z. X., & Leung, S. Y. S. (2014). Intelligent multi-objective decision-making model with RFID technology for production planning. International Journal of Production Economics, 147, 647–658.

    Article  Google Scholar 

  6. Guo, Z. X., Ngai, E. W. T., Yang, C., & Liang, X. D. (2015). An RFID-based intelligent decision support system architecture for production monitoring and scheduling in a distributed manufacturing environment. International Journal of Production Economics, 159, 16–28.

    Article  Google Scholar 

  7. Qu, T., Yang, H. D., Huang, G. Q., Zhang, Y. F., Luo, H., & Qin, W. (2012). A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers. Journal of Intelligent Manufacturing, 23(6), 2343–2356.

    Article  Google Scholar 

  8. Zhang, F. Q., Jiang, P. Y., Zheng, M., & Cao, W. (2013). A performance evaluation method for radio frequency identification-based tracking network of job-shop-type work-in-process material flows. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 227(10), 1541–1557.

    Article  Google Scholar 

  9. Wu, C. H., Ho, G. T. S., Yung, K. L., Tam, W. W. Y., & Ip, W. H. (2018). An RFID-based fallen object detection system: A case study of Hong Kong’s light rail system. IEEE Journal of Radio Frequency Identification, 2(2), 55–67.

    Article  Google Scholar 

  10. Tang, T., Lin, T., Jie, W., & Ming, C. (2018). Full realization of digitalization is the only way to intelligent manufacturing. Chinese Journal of Mechanical Engineering, 29, 366–377.

    Google Scholar 

  11. Alfian, G., Rhee, J., Ahn, H., Lee, J., Farooq, U., Ijaz, M. F., & Syaekhoni, M. A. (2017). Integration of RFID, wireless sensor networks, and data mining in an e-pedigree food traceability system. Journal of Food Engineering, 212, 65–75.

    Article  Google Scholar 

  12. Wang, S., Wan, J., Zhang, D., Li, D., & Zhang, C. (2016). Towards smart factory for Industry 4.0: A self-organized multi-agent system with big data based feedback and coordination. Computer Networks, 101, 158–168.

    Article  Google Scholar 

  13. Blanchet, M., Rinn, T., von Thaden, G., & de Thieulloy, G. (2014). Industry 4.0: The new industrial revolution. How Europe will succeed. In Think act. Munich: Roland Berger Strategy Consultants GmbH.

    Google Scholar 

  14. Ma, H., Wang, Y., & Wang, K. (2018). Automatic detection of false positive RFID readings using machine learning algorithms. Expert Systems with Applications, 91, 442–451.

    Article  Google Scholar 

  15. Wang, C., Jiang, P., & Ding, K. (2017). A hybrid-data-on-tag-enabled decentralized control system for flexible smart workpiece manufacturing shop floors. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 231(4), 764–782.

    Google Scholar 

  16. Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of big data on cloud computing: Review and open research issues. Information Systems, 47, 98–115.

    Article  Google Scholar 

  17. Ertek, G., Chi, X., & Zhang, A. N. (2017). A framework for mining RFID data from schedule-based systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(11), 2967–2984.

    Article  Google Scholar 

  18. Feng, J., Li, F., Xu, C., & Zhong, R. Y. (2018). Data-driven analysis for RFID-enabled smart factory: A case study. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1–8. https://doi.org/10.1109/TSMC.2018.2882838.

  19. Bu, F. (2018). A data mining framework for massive RFID data based on Apriori algorithm. Journal of Physics: Conference Series, 1087, 022020.

    Google Scholar 

  20. Hao, H., & Zhao, B. (2015). Application of RFID technology in development of warehouse logistics management system by internet of things. International conference on education, management, commerce and society (EMCS-15). Atlantis Press. https://doi.org/10.2991/emcs-15.2015.89.

  21. Ertek, G., Chi, X., & Zhang, A. (2017). A framework for mining RFID data from schedule-based systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(11), 2967–2984

    Google Scholar 

  22. Liu, Y., et al. (2012). Mining frequent trajectory patterns for activity monitoring using radio frequency tag arrays. IEEE Transactions on Parallel and Distributed Systems, 23, 2138–2149.

    Article  Google Scholar 

  23. Shen, B., Zheng, Q., Li, X., & Xu, L. (2015). A framework for mining actionable navigation patterns from in-store RFID datasets via indoor mapping. Sensors (Basel), 15(3), 5344–5375.

    Article  Google Scholar 

  24. Kang, H. S., Lee, J. Y., Choi, S., et al. (2016). Smart manufacturing: past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing-Green Technology, 3, 111–128.

    Article  Google Scholar 

  25. Xia, F., Yang, L. T., Wang, L., & Vinel, A. (2012). Internet of things. International Journal of Communication Systems, 25(9), 1101–1102.

    Article  Google Scholar 

  26. Atzori, L., Iera, A., & Morabito, G. (2017). Understanding the internet of things: Definition, potentials, and societal role of a fast evolving paradigm. Ad Hoc Networks, 56, 122–140.

    Article  Google Scholar 

  27. Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of things: A survey. Computer Networks, 54(15), 2787–2805.

    Article  MATH  Google Scholar 

  28. Jia, X., Feng, O., Fan, T., & Lei, Q. (2012). RFID technology and its applications in internet of things (IoT). In Proceedings of the 2nd IEEE International Conference on Consumer Electronics, Communications and Networks (CECNet), Yichang, China, Apr. 21–23, 2012, pp. 1282–1285.

    Google Scholar 

  29. Liu, C. H., Yang, B., & Liu, T. (2014). Efficient naming, addressing and profile services in internet-of-things sensory environments. Ad Hoc Networks, 18, 85–101.

    Article  Google Scholar 

  30. Yaqoob, I., Ahmed, E., Hashem, I. A. T., Ahmed, A. I. A., Gani, A., Imran, M., & Guizani, M. (2017). Internet of things architecture: Recent advances, taxonomy, requirements, and open challenges. IEEE Wireless Communications, 24(3), 10–16.

    Article  Google Scholar 

  31. Da Xu, L., He, W., & Li, S. (2014). Internet of things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4), 2233–2243.

    Article  Google Scholar 

  32. Mashal, I., Alsaryrah, O., Chung, T. Y., Yang, C. Z., Kuo, W. H., & Agrawal, D. P. (2015). Choices for interaction with things on internet and underlying issues. Ad Hoc Networks, 28, 68–90.

    Article  Google Scholar 

  33. Kumar, N. M., & Mallick, P. K. (2018). The internet of things: Insights into the building blocks, component interactions, and architecture layers. Procedia Computer Science, 132, 109–117.

    Article  Google Scholar 

  34. IIC Working TWG and SWG. (2015). Industrial internet reference architecture. Needham: Industrial Internet Consortium.

    Google Scholar 

  35. Adolphs, P., Bedenbender, H., Ehlich, M., Epple, U., Hankel, M., Hoffmeister, M., et al. (2015, July). GMA status report: Reference Architecture Model Industrie 4.0 (RAMI 4.0). VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik. Retrieved from https://www.zvei.org/fileadmin/user_upload/Presse_und_Medien/Publikationen/2016/januar/GMA_Status_Report__Reference_Archtitecture_Model_Industrie_4.0__RAMI_4.0_/GMA-Status-Report-RAMI-40-July-2015.pdf

  36. Oprea, A., Barsan, N., Weimar, U., Bauersfeld, M. L., Ebling, D., & Wöllenstein, J. (2008). Capacitive humidity sensors on flexible RFID labels. Sensors and Actuators B: Chemical, 132(2), 404–410.

    Article  Google Scholar 

  37. Delen, D., Sharda, R., & Hardgrave, B. C. (2011). The promise of RFID-based sensors in the perishables supply chain. IEEE Wireless Communications, 18(2), 82–88.

    Article  Google Scholar 

  38. Barreto, L., Amaral, A., & Pereira, T. (2017). Industry 4.0 implications in logistics: An overview. Procedia Manufacturing, 13, 1245–1252.

    Article  Google Scholar 

  39. Zhong, R. Y., et al. (2017). Intelligent manufacturing in the context of industry 4.0: A review. Engineering, 3(5), 616–630.

    Article  Google Scholar 

  40. Tao, F., Cheng, Y., Xu, L. D., Zhang, L., & Li, B. H. (2014). CCIoT-CMfg: Cloud computing and internet of things-based cloud manufacturing service system. IEEE Transactions on Industrial Informatics, 10(2), 1435–1442.

    Article  Google Scholar 

  41. Bi, Z., Xu, L. D., & Wang, C. (2014). Internet of things for enterprise systems of modern manufacturing. IEEE Transactions on Industrial Informatics, 10(2), 1537–1546.

    Article  Google Scholar 

  42. Lu, B. H., Bateman, R. J., & Cheng, K. (2006). RFID enabled manufacturing: Fundamentals, methodology and applications. International Journal of Agile Systems and Management, 1(1), 73–92.

    Article  Google Scholar 

  43. Wang, Y. M., Wang, Y. S., & Yang, Y. F. (2010). Understanding the determinants of RFID adoption in the manufacturing industry. Technological Forecasting and Social Change, 77(5), 803–815.

    Article  Google Scholar 

  44. Huang, G. Q., Zhang, Y. F., Chen, X., & Newman, S. T. (2008). RFID-enabled real-time wireless manufacturing for adaptive assembly planning and control. Journal of Intelligent Manufacturing, 19(6), 701–713.

    Article  Google Scholar 

  45. Liu, W. N., Zheng, L. J., Sun, D. H., Liao, X. Y., Zhao, M., Su, J. M., et al. (2012). RFID-enabled real-time production management system for Loncin motorcycle assembly line. International Journal of Computer Integrated Manufacturing, 25(1), 86–99.

    Article  Google Scholar 

  46. Zhang, Y., Zhang, G., Wang, J., Sun, S., Si, S., et al. (2014). Real-time information capturing and integration framework of the internet of manufacturing things. International Journal of Computer Integrated Manufacturing, 28(8), 1–12. https://doi.org/10.1080/0951192X.2014.900874.

    Article  Google Scholar 

  47. Dai, Q. Y., Zhong, R. Y., Huang, G. Q., Qu, T., Zhang, T., & Luo, T. Y. (2012). Radio frequency identification-enabled real-time manufacturing execution system: A case study in an automotive part manufacturer. International Journal of Computer Integrated Manufacturing, 25(1), 51–65.

    Article  Google Scholar 

  48. Zhong, R. Y., et al. (2015). A big data approach for logistics trajectory discovery from RFID-enabled production data. International Journal of Production Economics, 165, 260–272.

    Article  Google Scholar 

  49. Hofmann, E., & Rüsch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23–34.

    Article  Google Scholar 

  50. Tajima, M. (2007). Strategic value of RFID in supply chain management. Journal of Purchasing and Supply Management, 13(4), 261–273.

    Article  Google Scholar 

  51. Landmark, A. D., & Sjøbakk, B. (2017). Tracking customer behaviour in fashion retail using RFID. International Journal of Retail & Distribution Management, 45(7/8), 844–858.

    Article  Google Scholar 

  52. Madhani, P. M. (2015). Enhancing customer lifetime value in fast fashion retailing with RFID initiatives. International Journal of Business and Globalisation, 15(2), 205–237.

    Article  Google Scholar 

  53. Zhou, Z., Shangguan, L., Zheng, X., Yang, L., & Liu, Y. (2017). Design and implementation of an RFID-based customer shopping behavior mining system. IEEE/ACM Transactions on Networking, 25(4), 2405–2418.

    Article  Google Scholar 

  54. Choi, S. H., Yang, Y. X., Yang, B., & Cheung, H. H. (2015). Item-level RFID for enhancement of customer shopping experience in apparel retail. Computers in Industry, 71, 10–23.

    Article  Google Scholar 

  55. Niggemann, O., Biswas, G., Kinnebrew, J. S., Khorasgani, H., Volgmann, S., & Bunte, A. (2015). Data-driven monitoring of cyber-physical systems leveraging on big data and the internet-of-things for ciagnosis and control. In CEUR Workshop Proceedings, Vol. 1507, pp. 185–192.

    Google Scholar 

  56. Wang, S., Wan, J., Li, D., & Zhang, C. (2016). Implementing smart factory of Industrie 4.0: An outlook. International Journal of Distributed Sensor Networks, 12(1), 3159805.

    Article  Google Scholar 

  57. Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9(1), 54–89.

    Google Scholar 

  58. Temidayo, O., Oke, A. E., & Aigbavboa, C. (2018). Fusing RFID with mobile technology for enhanced safety of construction project team members. Proceedings of the International Conference on Industrial Engineering and Operations Management, 2018, 312–321.

    Google Scholar 

  59. Jiang, P., Sun, P., Kai, D., & Wang, C. (2015). Radio frequency identification-based graphical formalized deduction method for process tracking and its industrial applications. Chinese Journal of Mechanical Engineering, 51(20), 9–17.

    Article  Google Scholar 

  60. Alyahya, S., Wang, Q., & Bennett, N. (2016). Application and integration of an RFID-enabled warehousing management system – A feasibility study. Journal of Industrial Information Integration [Internet], 4, 15–25.

    Article  Google Scholar 

  61. Wang, Q., Alyahya, S., Bennett, N., & Dhakal, H. (2015). An RFID-enabled automated warehousing system. International Journal of Materials, Mechanics and Manufacturing, 3(4), 287–293.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jae Sung Choi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Elbasani, E., Siriporn, P., Choi, J.S. (2020). A Survey on RFID in Industry 4.0. In: Kanagachidambaresan, G., Anand, R., Balasubramanian, E., Mahima, V. (eds) Internet of Things for Industry 4.0. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-32530-5_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-32530-5_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32529-9

  • Online ISBN: 978-3-030-32530-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics