Skip to main content

Simulation of Shenyang Pork Supply Chain System Based on System Dynamics Model

  • Conference paper
  • First Online:
Advances in Simulation and Process Modelling (ISSPM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1305))

Included in the following conference series:

  • 482 Accesses

Abstract

In most of the leading research on pork supply chain (PSC) analysis, only a certain part of PSC is studied qualitatively or quantitatively. While they analyze the transmission of price in PSC, connection between price and operation of PSC has not been established. In this paper, system dynamics (SD) and supply chain theory are used to analyze the system behavior of PSC. The model takes into account the natural elimination of slaughtered pigs during feeding and the perishable nature of pork as fresh food. Based on the analysis of the logical relationship and data transfer between the links of PSC, the SD model of Shenyang pork supply chain system is formulated, and the corresponding flow diagram and the equations expressing the relationship between variables are developed. The simulation experiments are designed with step demand as the boundary condition of the system. The fluctuation trend of pork price in Shenyang is analyzed, and the robustness of Shenyang PSC is further discussed.

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. Qiu, H.Q., Chen, W.Y.: Study on the inventory cooperative strategy of dual-channel supply chain in fresh agricultural products. Math. Pract. Theor. 49(09), 1–10 (2019). (in Chinese)

    MATH  Google Scholar 

  2. He, J., Liu, W.X.: Simulation of aquatic products supply chain information transfer based on system dynamics. Food Industry 40(09), 302–306 (2019). (in Chinese)

    Google Scholar 

  3. Chen, W., Shen, Y., Tian, Y.: Modeling and simulation of fresh agriculture products supply chain based on system dynamics. Logistics Eng. Manage. 40(12), 101–104 (2018). (in Chinese)

    Google Scholar 

  4. Hu, L.H., Liu, T.: Research on supply chain risk for fruit and vegetable products in big Xiangxi. J. Huaihua Univ. 38(07), 74–79 (2018). (in Chinese)

    Google Scholar 

  5. Wei, J., Liu, W.H.: Fresh agricultural products logistics inventory simulation analysis based on system dynamics. Storage Process 18(02), 130–134 (2018). (in Chinese)

    Google Scholar 

Download references

Acknowledgements

This research work is partially supported by the Scientific Research Project of the Educational Department of Liaoning Province 2019 of China (Project Codes: lnqn201916), Shenyang Social Science Project 2020 of China (Project Codes: SYSK2020-09-14, SYSK2020-09-32), Project Plan of China Logistics Learned Society and China Logistics and Purchasing Federation 2020 (Project Codes: 2020CSLKT3-187, 2020CSLKT3-188), Logistics Reform and Teaching Research Project 2020 of China (Project Codes: JZW2020205)

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qianqian Shao .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shao, Q., Zhang, X., Zhang, Y., Zhang, S. (2021). Simulation of Shenyang Pork Supply Chain System Based on System Dynamics Model. In: Li, Y., Zhu, Q., Qiao, F., Fan, Z., Chen, Y. (eds) Advances in Simulation and Process Modelling. ISSPM 2020. Advances in Intelligent Systems and Computing, vol 1305. Springer, Singapore. https://doi.org/10.1007/978-981-33-4575-1_17

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-4575-1_17

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4574-4

  • Online ISBN: 978-981-33-4575-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics