Skip to main content
SpringerLink
Log in

Supply Chain Operational Risk Management Based on Multi-agent

  • Conference paper
Information Engineering and Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 154))

  • 159 Accesses

Abstract

As for some possible risk factors in the supply chain operation, the system framework model based on Multi-agent is put forward and we try to build the simulation experiment platform of supply chain operation risk management. By simulation, many real situations can be realized, some virtual but more typical data can be collected, then we can analysis on the basis of these typical results, and explore the occurrence of risks and responding strategies.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 549.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Iwan Vanany. Supply Chain Risk Management: Literature Review and Future Research. Journal of Information Systems and Supply Chain Management, 2009.2(1):16–33

    Google Scholar 

  2. Gonca Tuncel,Gulgun Alpan. Risk assessment and management for supply chain networks: A case study. Computers in Industry, 2010 (61):250–259

    Google Scholar 

  3. Editorial. Perspectives on risk management in supply chains. Journal of Operations Management, 2009(27): 114–118

    Google Scholar 

  4. Ou Tang, S. Nurmaya Musa. Identifying risk issues and research advancements in supply chain risk management. Int. J. Production Economics, 2010. 6:1–10

    Google Scholar 

  5. Harland C, Brenchley R.Walker H. Risk in supply networks. Journal of Purchasing & Supply Management, 2003(9):51–62

    Google Scholar 

  6. Kleindorfer P R, Saad G H. Managing disruption risks in supply chains. Production and Operations Management, 2005,14(1):53–68

    Google Scholar 

  7. Christopher S. Tang. Perspectives in supply chain risk management. Int. J. Production Economics, 2006. 3: 451–488

    Google Scholar 

  8. Chen, K.B., Xiao, T.J. Demand disruption and coordination of the supply chain with a dominant retailerr. European Journal of Operational Research, 2009, 197: 225–234.

    Google Scholar 

  9. Chod, J., Rudi, N. Resource flexibility with responsive pricing. Operations Research, 2005, 53(3): 532–548.

    Google Scholar 

  10. Choi, T.Y., Krause, D.R. The supply base and its complexity: Implications for transaction costs, risks, responsiveness, and innovation. Journal of Operations Management, 2006, 24(5): 637–652.

    Google Scholar 

  11. Corbett, C. J., DeCroix, G. A., Ha, A.Y. Optimal shared-savings contracts in supply chains: Linear contracts and double moral hazard. European Journal of Operational Research, 2005, 163(3): 653–667.

    Google Scholar 

  12. Dam K., Lukszo Z., Srinivasan R. Abnormal Situation Management in a Refinery Supply Chain Supported by an Agent-Based Simulation Model. Computer Aided Chemical Engineering, 2009, 27: 2097–2102.

    Google Scholar 

  13. He, Y., Zhang, J., Random Yield Supply Chain with a Yield Dependent Secondary Market, Kull T., Closs D. The risk of second-tier supplier failures in serial supply chains: Implications for order policies and distributor autonomy. European Journal of Operational Research, 2008, 186: 1158–1174.

    Google Scholar 

  14. Li J., Sheng Z. H., Liu H. Multi-agent simulation for the dominant players’ behavior in supply chains, Simulat. Modell. Pract. Theory, 2010, doi:10.1016/j.simpat.2010.02.001.

Download references

Author information

Authors and Affiliations

  1. School of Management Science and Engineering, Nanjing University, Nanjing, 210093, China

    Zhang Daohai, Zhang Yanan & Wang Wei

  2. School of Business and Administration, Jiangsu University, Zhenjiang, 212013, China

    Zhang Daohai

Authors
  1. Zhang Daohai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhang Yanan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wang Wei
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhang Daohai .

Editor information

Editors and Affiliations

  1. South-Central University for Nationaliti, Wuhan, 430074, China, People's Republic

    Rongbo Zhu

  2. , School of Computer and Information, Chongqing Normal University, Chongqing, 401331, China, People's Republic

    Yan Ma

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag London Limited

About this paper

Cite this paper

Daohai, Z., Yanan, Z., Wei, W. (2012). Supply Chain Operational Risk Management Based on Multi-agent. In: Zhu, R., Ma, Y. (eds) Information Engineering and Applications. Lecture Notes in Electrical Engineering, vol 154. Springer, London. https://doi.org/10.1007/978-1-4471-2386-6_80

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-2386-6_80

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2385-9

  • Online ISBN: 978-1-4471-2386-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation