Skip to main content

Research on Network Equilibrium Scheduling Method of Water Conservancy Green Product Supply Chain Based on Compound Ant Colony Algorithm

  • Conference paper
  • First Online:
Multimedia Technology and Enhanced Learning (ICMTEL 2023)

Abstract

In order to improve the balanced scheduling performance of the water conservancy green product supply chain network, a research on the balanced scheduling method of the water conservancy green product supply chain network based on the composite ant colony algorithm is proposed. Build the logistics distribution model of water conservancy green product supply chain to obtain the competitive relationship between supply chains. By calculating the entropy value of the supply chain network scheduling task, the priority weight of the supply chain network scheduling is completed. Based on the composite ant colony algorithm for population fusion calculation, the balanced scheduling model of water conservancy green product supply chain network is constructed to realize the balanced scheduling of water conservancy green product supply chain network. The experimental results show that the proposed method has better performance in the supply chain balance, scheduling responsiveness and storage facility utilization of water conservancy green products.

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
  • 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. Goodarzian, F., Hoseini-Nasab, H., Toloo, M., Fakhrzad, M.B., et al.: Designing a new medicine supply chain network considering production technology policy using two novel heuristic algorithms. RAIRO-Oper. Res. (2804–7303) 55(2), 1015–1042 (2021)

    Google Scholar 

  2. Zl, A., Jia, W.B.: Supply chain network equilibrium with strategic supplier investment: a real options perspective - ScienceDirect. Int. J. Prod. Econ. 208, 184–198 (2019)

    Article  Google Scholar 

  3. Tang, L., He, C., Jing, K., Tan, Z., Qin, X.W., et al.: Supply chain network scheduling by considering merge decision with random order interference. Chin. J. Manag. Sci. 27(4), 91–103 (2019)

    Google Scholar 

  4. Gao, J., Zheng, L. Optimizing coal supply chain network maintenance scheduling based on benders decomposition. J. Wuhan Univ. Technol. Inf. Manag. Eng. Edi. 42(3), 227–232, 259 (2020)

    Google Scholar 

  5. Duan, C., Yao, F., Xiu, G., et al.: Multi-period closed-loop supply chain network equilibrium: perspective of marketing and corporate social responsibility. IEEE Access 9, 1495–1511 (2020)

    Article  Google Scholar 

  6. Dao-ping, W., Chao, Z., Yan-ping, C.: Study on supply chain network equilibrium considering quality control and loss aversion. Oper. Res. Manag. Sci. 28(8), 76–85 (2019)

    Google Scholar 

  7. Lu, J., Fan, Z., Liu, C.: supply chain information oriented mining model based on TF-IDF algorithm. Comput. Simul. 38(7), 153–156, 349 (2021)

    Google Scholar 

  8. Li, J., Wang, Z.X.: Deriving priority weights from hesitant fuzzy preference relations in view of additive consistency and consensus. Soft Comput. A Fusion Found. Methodologies Appl. 23(24), 13691–13707 (2019)

    Google Scholar 

  9. Aliyu, M., Murali, M., Gital, A.Y., et al.: A multi-tier architecture for the management of supply chain of cloud resources in a virtualized cloud environment: a novel SCM technique for cloud resources using ant colony optimization and spanning tree. Int. J. Inf. Syst. Supply Chain Manag. 14(3), 1–17 (2021)

    Article  Google Scholar 

  10. Peng, Y., Xu, D., Li, Y., et al.: A product service supply chain network equilibrium model considering capacity constraints. Math. Probl. Eng. 2020, 1–15 (2020)

    MathSciNet  Google Scholar 

Download references

Aknowledgement

Zhejiang Provincial Department of Water Resources Science and Technology Project: Research on the Mechanism and Path of Fintech-Driven Green Innovation and Development of Water Resources RC2112

2021 Fundamental Research Project of the University: Research on the Impact of Green Finance on the Ecological Development of Water Conservancy Economy under Digital Transformation FRF21PY005

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weijia Jin .

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

Jin, W., Gong, S. (2024). Research on Network Equilibrium Scheduling Method of Water Conservancy Green Product Supply Chain Based on Compound Ant Colony Algorithm. In: Wang, B., Hu, Z., Jiang, X., Zhang, YD. (eds) Multimedia Technology and Enhanced Learning. ICMTEL 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-031-50577-5_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-50577-5_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50576-8

  • Online ISBN: 978-3-031-50577-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics