A framework for risk assessment in oil and gas supply chains

Zaid Kbah, Nadiye O. Erdil, Faisal Aqlan

Research output: Contribution to conferencePaper

Abstract

The use of simulation models as decision-support tools in supply chain risk management has been motivated by the need for powerful risk and reliability analysis models. Conventional computer supported reliability analysis, such as fault tree analysis and event tree analysis, are commonly used. However, these tools alone might not be able to capture all the dimensions of the system. Discrete-Event Simulation (DES) can be used as a comprehensive reliability and risk analysis tool that can capture the dynamic interactions of system components. In this paper, we assess the vulnerability of oil and gas supply chains to disruption and operational risks and measure the impact on customer satisfaction and inventory levels. A Continuous-Time Discrete-Event (CTDE) simulation model is constructed for an oil and gas supply chain to capture the flow of material through the supply chain. A Bow-Tie analysis is then developed through DES to understand the dynamic nature of the risks and measure their impact. The results obtained from the case study under consideration indicated that reducing the time-to-recover is a better mitigation strategy compared to increasing the capacity for gradual recovery.

Original languageEnglish (US)
Pages1596-1601
Number of pages6
StatePublished - 2020
Event2016 Industrial and Systems Engineering Research Conference, ISERC 2016 - Anaheim, United States
Duration: May 21 2016May 24 2016

Conference

Conference2016 Industrial and Systems Engineering Research Conference, ISERC 2016
CountryUnited States
CityAnaheim
Period5/21/165/24/16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Kbah, Z., Erdil, N. O., & Aqlan, F. (2020). A framework for risk assessment in oil and gas supply chains. 1596-1601. Paper presented at 2016 Industrial and Systems Engineering Research Conference, ISERC 2016, Anaheim, United States.