Systems thinking for modeling risk propagation in supply networks

Abhijeet Ghadge, Samir Dani, Roy Kalawsky

    Research output: Contribution to conferencePaper

    10 Citations (Scopus)

    Abstract

    Large scale systems like supply chains are growing more global and complex. Quantifying supply chain risks is challenging due to their uncertain nature. Understanding of the risk propagation is expected to provide new directions for effective supply chain risk management. Using systems thinking approach for modeling risk propagation in supply chain, we have developed a conceptual understanding of risk propagation levels and dimensions. A case study of the Japanese tsunami (2011) has been analyzed and presented in a multi-dimensional perspective to validate the conceptual development of risk propagation. Key supply chain risks and their approximate risk propagation durations are identified for a typical natural disaster disrupting global supply chain network. Case study has validated the classification of risks based on their propagation zones in supply network.
    Original languageEnglish
    Pages1685-1689
    Number of pages5
    DOIs
    Publication statusPublished - 9 Dec 2011

    Keywords

    • Systems thinking
    • supply networks
    • risk propagation
    • case study

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