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Supply Chain Disruption Management: Review of Issues and Research Directions

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  • Brown, Adam
  • Badurdeen, Fazleena

Abstract

Supply Chain Risk Management (SCRM) is an increasingly popular subject of research which emphasizes the goals of achieving improved supply chain robustness through development of design and operational strategies. Disruption management is one aspect of SCRM which examines the ability of the supply chain to maintain a high level of performance under the effects of major disruptions. Specifically, disruptions refer to events characterized by a low likelihood of occurrence and a large impact. Because of their limited rate of occurrence, disruptions are associated with a high uncertainty with respect to their expected impact. Improved modeling of the disruption impact is one key issue in this field. Other issues include the design of methods for supply chain performance measurement, disruption monitoring and detection, evaluation of recovery strategies, and methods of optimal supply chain design. Design features to be considered include flexibility, redundancy, and operating efficiency. The relevant literature is presented in the context of these major issues and future directions suggested by researchers in the field are discussed.

Suggested Citation

  • Brown, Adam & Badurdeen, Fazleena, 2014. "Supply Chain Disruption Management: Review of Issues and Research Directions," MPRA Paper 57949, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:57949
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    File URL: https://mpra.ub.uni-muenchen.de/57949/9/MPRA_paper_57949.pdf
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    References listed on IDEAS

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    1. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2010. "The design of robust value-creating supply chain networks: A critical review," European Journal of Operational Research, Elsevier, vol. 203(2), pages 283-293, June.
    2. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    3. Yusen Xia & Karthik Ramachandran & Haresh Gurnani, 2011. "Sharing demand and supply risk in a supply chain," IISE Transactions, Taylor & Francis Journals, vol. 43(6), pages 451-469.
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    Cited by:

    1. Araceli Zavala & David Nowicki & Jose Emmanuel Ramirez-Marquez, 2019. "Quantitative metrics to analyze supply chain resilience and associated costs," Journal of Risk and Reliability, , vol. 233(2), pages 186-199, April.

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    More about this item

    Keywords

    Supply Chain; Disruptions; Risk Management; Gray Swan;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General

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