Skip to main content

Blockchain Based Logistics Tracking and Traceability Method for E-Commerce Products

  • Conference paper
  • First Online:
Advanced Hybrid Information Processing (ADHIP 2023)

Abstract

To improve the traceability effect of e-commerce product logistics and shorten its response time, this study proposes a blockchain based e-commerce product logistics traceability method. This method first conducts theoretical research on the traceability of e-commerce product logistics information, and then obtains data through the collection of e-commerce product logistics information. The ProVOC model is used to complete the design of e-commerce product logistics information storage model. Finally, based on this, the process design of e-commerce product logistics traceability is completed, achieving the function of e-commerce product logistics traceability. The experimental results show that the proposed method has better application effect and shorter response time, which has greater application value.

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 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Panprommin, D., Manosri, R.: DNA barcoding as an approach for species traceability and labeling accuracy of fish fillet products in Thailand. Food Control 136, 1–6 (2022)

    Article  Google Scholar 

  2. Guo, T., Chen, Y., Zhu, X.: An optimization model for process traceability in case-based reasoning based on ontology and the genetic algorithm. IEEE Sens. J. 21(22), 25123–25132 (2021)

    Article  Google Scholar 

  3. Zhang, S., Liao, J., Shuangcheng, W., Zhong, J., Xue, X.: A Traceability public service cloud platform incorporating IDcode system and colorful QR code technology for important product. Math. Probl. Eng.Probl. Eng. 2021, 1–15 (2021). https://doi.org/10.1155/2021/5535535

    Article  Google Scholar 

  4. Zhang, Y., Liu, Y., Zhang, J.: Development and assessment of blockchain oT-based traceability system for frozen aquatic product. J. Food Process EngEng 44(1), 106079 (2021)

    Google Scholar 

  5. Pandey, V., Pant, M., Snasel, V.: Blockchain technology in food supply chains: review and bibliometric analysis. Technol. Soc. 69, 101954 (2022)

    Article  Google Scholar 

  6. Liu, Z., Wu, L., Meng, W.: Accurate range query with privacy preservation for outsourced location-based service in IoT. IEEE Internet Things J. 8(18), 14322–14337 (2021)

    Article  Google Scholar 

  7. Ahmad, R.W., Salah, K., Jayaraman, R., et al.: Blockchain in oil and gas industry: applications, challenges, and future trends. Technol. Soc. 68, 101941 (2022)

    Article  Google Scholar 

  8. Bhutta, M., Ahmad, M.: Secure identification, traceability and real-time tracking of agricultural food supply during transportation using internet of things. IEEE Access 9, 65660–65675 (2021)

    Article  Google Scholar 

  9. Wang, S.: Artificial intelligence applications in the new model of logistics development based on wireless communication technology. Sci. Program. 10(9), 211189 (2021)

    Google Scholar 

  10. Azzouz, K., Arif, J., Benboubker, M.B.: Exploratory study of the role of logistics service providers in terms of traceability in the process of outsourcing of logistics’ activities: case of Moroccan LSP. Int. J. Eng. Res. Afr. 54, 187–208 (2021)

    Article  Google Scholar 

Download references

Acknowledgement

2022 Annual Project of the “14th Five-Year Plan” Education and Science Planning of Shaanxi Province: Research on the improvement of digital literacy and skills of college students majoring in economics and management in the digital economy era (SGH22Y1715).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zimin Bao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bao, Z., Han, Y. (2024). Blockchain Based Logistics Tracking and Traceability Method for E-Commerce Products. In: Yun, L., Han, J., Han, Y. (eds) Advanced Hybrid Information Processing. ADHIP 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 549. Springer, Cham. https://doi.org/10.1007/978-3-031-50549-2_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-50549-2_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50548-5

  • Online ISBN: 978-3-031-50549-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics