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International Conference on Intelligent Computing for Sustainable Energy and Environment

International Conference on Life System Modeling and Simulation

ICSEE 2010, LSMS 2010: Life System Modeling and Intelligent Computing pp 26–35Cite as

Analyzing Deformation of Supply Chain Resilient System Based on Cell Resilience Model

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6328))

Abstract

Resilience is a basic attribute of a supply chain system, and affects the core competence of the system. In the paper, based on the supply chain resilience analysis method, it built a mathematical model of supply chain resilient system with two members, and researched the changing rules of supply chain system deformation with time under the impact of sustained accumulation risks. It provided a novelty way for supply chain research. At last, a numerical simulation on the theoretic analysis was carried out by Matlab. The results showed the system deformation driven by supply chain resilience would increase gradually with some certain relationship.

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Author information

Authors and Affiliations

  1. Institute of Systems Engineering, Southeast University, Nanjing, Jiangsu, 210096, P.R. China

    Yonghong Li & Lindu Zhao

Authors
  1. Yonghong Li
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  2. Lindu Zhao
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Editor information

Editors and Affiliations

  1. Electrical Engineering and Computer Science, The Queen’s University, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    Kang Li

  2. School of Mechatronical Engineering and Automation, Shanghai University, P.O.Box 183, 200072, Shanghai, China

    Minrui Fei  & Li Jia  & 

  3. School of Electronics, Electrical Engineering and Computer Science, The Queen’s University, Ashby Building, Stranmillis Road, BT9 5AH, Belfast, UK

    George W. Irwin

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Li, Y., Zhao, L. (2010). Analyzing Deformation of Supply Chain Resilient System Based on Cell Resilience Model. In: Li, K., Fei, M., Jia, L., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Lecture Notes in Computer Science, vol 6328. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15621-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-15621-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15620-5

  • Online ISBN: 978-3-642-15621-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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