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A systemic approach for disruption risk assessment in oil and gas supply chains

Author

Listed:
  • Abdulrahman Alfaqiri
  • Niamat Ullah Ibne Hossain
  • Raed Jaradat
  • Sawsan Abutabenjeh
  • Charles B. Keating
  • Mahmoud T. Khasawneh
  • C. Ariel Pinto

Abstract

Twenty-first century systems are characterised by rapid changes and constantly evolving dynamics. Therefore, supply chains have become more globalised and complex than ever before. Global supply chains are often accompanied by serious threats and significant additional risks to industries that rely heavily on them. The oil and gas industry encounter significant supply chain risks throughout all stages. The objective of this paper is to provide a holistic complex system governance (CSG) perspective to investigate disruption risks in oil and gas supply chains. As a case study, the piracy problem in Africa is used to demonstrate the efficacy and extensibility of the CSG perspective to a wider array of potential supply chain disruptions. Unlike ready-made solutions or 'off-the-shelf' strategies that may actually undermine the establishment of a resilient global oil and gas supply chain, this paper examines associated risks as a complex system, or a system of systems problem.

Suggested Citation

  • Abdulrahman Alfaqiri & Niamat Ullah Ibne Hossain & Raed Jaradat & Sawsan Abutabenjeh & Charles B. Keating & Mahmoud T. Khasawneh & C. Ariel Pinto, 2019. "A systemic approach for disruption risk assessment in oil and gas supply chains," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 15(3), pages 230-259.
    • Handle: RePEc:ids:ijcist:v:15:y:2019:i:3:p:230-259
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    Citations

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    Cited by:

    1. Niamat Ullah Ibne Hossain & Farjana Nur & Raed Jaradat & Seyedmohsen Hosseini & Mohammad Marufuzzaman & Stephen M. Puryear & Randy K. Buchanan, 2019. "Metrics for Assessing Overall Performance of Inland Waterway Ports: A Bayesian Network Based Approach," Complexity, Hindawi, vol. 2019, pages 1-17, May.
    2. Hossain, Niamat Ullah Ibne & Nur, Farjana & Hosseini, Seyedmohsen & Jaradat, Raed & Marufuzzaman, Mohammad & Puryear, Stephen M., 2019. "A Bayesian network based approach for modeling and assessing resilience: A case study of a full service deep water port," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 378-396.
    3. HOSSAIN, Niamat Ullah Ibne & Amrani, Safae El & Jaradat, Raed & Marufuzzaman, Mohammad & Buchanan, Randy & Rinaudo, Christina & Hamilton, Michael, 2020. "Modeling and assessing interdependencies between critical infrastructures using Bayesian network: A case study of inland waterway port and surrounding supply chain network," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    4. Nazir, Sajid & Ali, Mahmood & Saeed, Munazza & Mubarik, Muhammad Shahzad & Jalil, Qasim, 2024. "Sustainable performance and disaster management in the oil and gas industry: An intellectual capital perspective," Resources Policy, Elsevier, vol. 92(C).

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