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Evaluating Supply Chain Resilience Under Different Types of Disruption

  • Sónia R. Cardoso
  • Ana Paula Barbosa-Póvoa
  • Susana Relvas
  • Augusto Q. Novais
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 682)

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.

Keywords

Supply Chain Demand Uncertainty Disruption Scenario Customer Service Level Transportation Link 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Adenso-Diaz, B., Mena, C., Garcia-Carbajal, S., Liechty, M.: The impact of supply-network characteristics on reliability. Supply Chain Manag. Int. J. 17(3), 263–276 (2012)CrossRefGoogle Scholar
  2. 2.
    Bode, C., Wagner, S., Petersen, K., Ellram, L.: Understanding responses to supply chain disruptions: insights from information processing and resource dependence perspectives. Acad. Manag. J. 54(4), 833–856 (2011)CrossRefGoogle Scholar
  3. 3.
    Cardoso, S., Barbosa-Póvoa, A., Relvas, S.: Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty. Eur. J. Oper. Res. 226(3), 436–451 (2013)CrossRefGoogle Scholar
  4. 4.
    Carvalho, H., Barroso, A., Machado, V., Azevedo, S., Cruz-Machado, V.: Supply chain redesign for resilience using simulation. Comput. Ind. Eng. 62, 329–341 (2012)CrossRefGoogle Scholar
  5. 5.
    Chopra, S., Sodhi, M.: Managing risk to avoid supply-chain breakdown. MIT Sloan Manag. Rev. 46, 52–61 (2004)Google Scholar
  6. 6.
    Christopher, M., Peck, H.: Building the resilient supply chain. Int. J. Logist. Manag. 15(2), 1–13 (2004)CrossRefGoogle Scholar
  7. 7.
    Fiksel, J.: Designing resilient sustainable systems. Environ. Sci. Technol. 37(23), 5330–5339 (2003)CrossRefGoogle Scholar
  8. 8.
    Kima, Y., Choi, T., Yan, T., Dooley, K.: Structural investigation of supply networks: a social network analysis approach. J. Oper. Manag. 29, 194–211 (2011)CrossRefGoogle Scholar
  9. 9.
    Rice, J., Caniato, F.: Building a secure and resilient supply network. Supply Chain Manag. Rev. 7(5), 22–30 (2003)Google Scholar
  10. 10.
    Sawik, T.: Selection of resilient supply portfolio under disruption risks. Omega 41, 259–269 (2013)CrossRefGoogle Scholar
  11. 11.
    Spiegler, V., Naim, M., Wikner, J.: A control engineering approach to the assessment of supply chain resilience. Int. J. Prod. Res. 50(21), 6162–6187 (2012)CrossRefGoogle Scholar
  12. 12.
    Tsiakis, P., Shah, N., Pantelides, C.: Design of multi-echelon supply chain networks under demand uncertainty. Ind. Eng. Chem. Res. 40(16), 3585–3604 (2001)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Sónia R. Cardoso
    • 1
  • Ana Paula Barbosa-Póvoa
    • 1
  • Susana Relvas
    • 1
  • Augusto Q. Novais
    • 2
  1. 1.CEG-IST, Instituto Superior TécnicoUniversidade de LisboaLisboaPortugal
  2. 2.LNEG, Laboratório Nacional de Energia e GeologiaLisboaPortugal

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