Identification of tipping points in supply chain dynamics using effective dimension and resilience index

Christine M. Edwards, Eric Muhle, Kyle Wolma, Amber Bishop, Roshanak R. Nilchiani

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations

    Abstract

    When a supply chain model is translated into a relatively new and revolutionary mathematical dimension that reveals the location of tipping points, a critical resilience index can be extracted that measures whether supply chains are sustainable or close to collapse. This paper shows the translation of supply chain dynamics equations into this effective plane, the extraction of the critical resilience index, and simulation results that show how the resilience index correlates with stability of the supply chain. These results have great potential for improving the understanding of supply chain management, revealing how close a supply chain is to collapse and providing a metric to help make supply chains more sustainable. For example, one potential application is to use this model to ensure that agri-food supply chains are resilient to continue supporting growing populations.

    Original languageEnglish
    Title of host publication12th Annual IEEE International Systems Conference, SysCon 2018 - Proceedings
    Pages1-4
    Number of pages4
    ISBN (Electronic)9781538636640
    DOIs
    StatePublished - 30 May 2018
    Event12th Annual IEEE International Systems Conference, SysCon 2018 - Vancouver, Canada
    Duration: 24 Apr 201826 Apr 2018

    Publication series

    Name12th Annual IEEE International Systems Conference, SysCon 2018 - Proceedings

    Conference

    Conference12th Annual IEEE International Systems Conference, SysCon 2018
    Country/TerritoryCanada
    CityVancouver
    Period24/04/1826/04/18

    Keywords

    • Complex systems
    • Data analytics
    • Network theory
    • Resilience
    • Supply chain

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