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Evaluating Supply Chain Resilience Under Different Types of Disruption

In: Computational Management Science

Author

Listed:
  • Sónia R. Cardoso

    (Universidade de Lisboa)

  • Ana Paula Barbosa-Póvoa

    (Universidade de Lisboa)

  • Susana Relvas

    (Universidade de Lisboa)

  • Augusto Q. Novais

    (LNEG, Laboratório Nacional de Energia e Geologia)

Abstract

In the present work a design and planning model with uncertainty in products’ demand is applied to two supply chains (SCs): a traditional forward network and a closed-loop supply chain (CLSC). The objective is to maximize the ENPV and evaluate their resilience towards different types of disruption. Four disruptions that affect different SC echelons are implemented, with uncertainty in their occurrence being also considered simultaneously with products’ demand uncertainty. The networks’ resilience is measured using seven indicators. A case study is solved.

Suggested Citation

  • Sónia R. Cardoso & Ana Paula Barbosa-Póvoa & Susana Relvas & Augusto Q. Novais, 2016. "Evaluating Supply Chain Resilience Under Different Types of Disruption," Lecture Notes in Economics and Mathematical Systems, in: Raquel J. Fonseca & Gerhard-Wilhelm Weber & João Telhada (ed.), Computational Management Science, edition 1, pages 123-129, Springer.
    • Handle: RePEc:spr:lnechp:978-3-319-20430-7_16
    DOI: 10.1007/978-3-319-20430-7_16
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