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An interactive risk visualisation tool for large-scale and complex engineering and construction projects under uncertainty and interdependence

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  • Salman Kimiagari
  • Samira Keivanpour

Abstract

Implementation of the megaprojects with large-scale engineering and construction projects are risky in nature and evaluating the associated risks of those large projects is a critical success factor. The systematic approaches and empirical studies related to the visualisation and communicating risks of these projects remain missing. This paper aims to develop a systematic approach to managing and visualising the risk of these mega-projects using joint application of fuzzy group decision-making, analytic network process and mapping the resulting network of dependencies together with proximity information, graph theory, and mutual information theory. We have applied the model in a real case study of megaprojects in the oil and gas industry. The methodology proposed in this study could be used in the other large-scale engineering and construction projects considering the contracts features and the contextual factors.

Suggested Citation

  • Salman Kimiagari & Samira Keivanpour, 2019. "An interactive risk visualisation tool for large-scale and complex engineering and construction projects under uncertainty and interdependence," International Journal of Production Research, Taylor & Francis Journals, vol. 57(21), pages 6827-6855, November.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:21:p:6827-6855
    DOI: 10.1080/00207543.2018.1503426
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    Cited by:

    1. Fernando Acebes & David Poza & Jose M Gonzalez-Varona & Javier Pajares & Adolfo Lopez-Paredes, 2024. "On the project risk baseline: integrating aleatory uncertainty into project scheduling," Papers 2406.00077, arXiv.org.
    2. Kimiagari, Salman & Mahbobi, Mohammad & Toolsee, Tushika, 2023. "Attracting and retaining FDI: Africa gas and oil sector," Resources Policy, Elsevier, vol. 80(C).

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