Skip to main content

Study on Cloud Logistics Distribution Model of Agricultural Products

  • Conference paper
  • First Online:
Cloud Computing and Security (ICCCS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11064))

Included in the following conference series:

  • 2027 Accesses

Abstract

In the context of intensified market economic competition, logistics distribution still shows some lags in terms of efficiency, cost and effect speed. And the problems of agricultural products logistics are particularly acute. In order to further integrate and optimize the social logistics resources, improve the logistics efficiency of agricultural products, In this paper, an agricultural product logistics distribution model is proposed combined with the cloud computing technology, and the IDEF0 method is used to construct a model of cloud logistics’ agricultural product distribution model. It analyzes its architecture from three levels: online system, online and offline link system and offline physical distribution system, which providing new thoughts for the development of agricultural products’ logistics. The modernization of agricultural product logistics is the focus of China’s agricultural modernization, and the improvement of the logistics efficiency of agricultural products involves many factors. This paper combines the characteristics of agricultural logistics and the cloud logistics service model to demonstrate the basic structure of the proposed model. However, in the actual situation, the logistics of agricultural products may be more complicated.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Foster, I., Zhao, Y., Raicu, I.: Cloud computing and grid computing 360-degree compared. In: Grid Computing Environments Workshop (2008)

    Google Scholar 

  2. Liang, H.: Cloud logistics and big data revolutionize the logistics model. China’s Circ. Econ. (2014)

    Google Scholar 

  3. Wang, X.: Research on theory, method and application of smart cloud logistics based on big data. Zhejiang University of Technology (2015)

    Google Scholar 

  4. Jiang, Y., Fang, Z.: Virtual enterprise production logistics system modeling and simulation. J. Ningbo Univ. (Nat. Sci. Eng. Ed.) (2015)

    Google Scholar 

  5. Yu, Z.: Study on logistics distribution service model of agricultural products based on cloud logistics framework. In: Conference on Web Based Business Management (2012)

    Google Scholar 

  6. Lu, H., Zhang, J.: Innovation of logistics integration model integrating agriculture, logistics and business under cloud logistics. Bus. Times (2015)

    Google Scholar 

  7. Ramanathan, R.: The moderating roles of risk and efficiency on the relationship between logistics performance and customer loyalty in e-commerce. Transp. Res. 46, 950–962 (2010)

    Google Scholar 

  8. Subramanian, N.P., Abdulrahman, M.D., Zhou, X.: Integration of logistics and cloud computing service providers: cost and green benefits in the Chinese context. Transp. Res. Part E: Logist. Transp. Rev. 70, 86–98 (2014)

    Article  Google Scholar 

  9. Lin, Y., Tian, S.: Logistics cloud service: innovation model of logistics service oriented to supply chain. Appl. Res. Comput. 29, 224–228 (2012)

    Google Scholar 

  10. Fu, P.: Smart logistics model construction based on big data. Logist. Technol. (2018)

    Google Scholar 

  11. Nowicka, K.: Smart city logistics on cloud computing model. Procedia - Soc. Behav. Sci. 151, 266–281 (2014)

    Article  Google Scholar 

  12. Wang, X.: The logistics mode innovation of e-commerce enterprises in China and the development prospect discussion of “cloud logistics”. J. Commer. Econ. (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Linli Tao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Huang, J., Tao, L. (2018). Study on Cloud Logistics Distribution Model of Agricultural Products. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11064. Springer, Cham. https://doi.org/10.1007/978-3-030-00009-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00009-7_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00008-0

  • Online ISBN: 978-3-030-00009-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics