Reuse optimization and tipping-point resilience in supply chains

Christine M. Edwards, Roshanak R. Nilchiani, Jon Wade, Karl Strickland

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

    3 Scopus citations

    Abstract

    As systems are optimized, they can become more brittle and less resilient. A novel resilience index introduced in 2016 measures how close a system is to tipping points [1] and was shown to work on supply chain models in 2018 [2]. This paper expands on that research through assessing how well those methods work on real supply-chain systems through case studies in reuse optimization. The results show an interesting conflict between supply-chain reuse optimization and resilience. As a system is increasingly optimized through more efficient use and re-use of materials, its resilience decreases. This can be measured by the proximity of its resilience index to the expected tipping-point of the system. Past the tipping point, the available resources and production rates cannot meet demand. Discussion of the results explore how this resilience index can be used as an important factor in system optimizations, and the implications of these findings in the management of supply chains and other systems.

    Original languageEnglish
    Title of host publicationSysCon 2019 - 13th Annual IEEE International Systems Conference, Proceedings
    ISBN (Electronic)9781538683965
    DOIs
    StatePublished - Apr 2019
    Event13th Annual IEEE International Systems Conference, SysCon 2019 - Orlando, United States
    Duration: 8 Apr 201911 Apr 2019

    Publication series

    NameSysCon 2019 - 13th Annual IEEE International Systems Conference, Proceedings

    Conference

    Conference13th Annual IEEE International Systems Conference, SysCon 2019
    Country/TerritoryUnited States
    CityOrlando
    Period8/04/1911/04/19

    Keywords

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

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