TY - JOUR
T1 - Sudden-onset disaster resilience considering functionality improvement planning
T2 - An upstream oil and gas company
AU - Salmanzadeh-Meydani, Navid
AU - Fatemi Ghomi, S. M. T.
AU - Haghighi, Seyedhamidreza Shahabi
AU - Govindan, Kannan
N1 - Publisher Copyright:
© 2022
PY - 2023/2
Y1 - 2023/2
N2 - The present paper presents a quantitative approach to evaluate organizational resilience in sudden-onset disasters considering preparedness actions (PAs). The resilience triangle concept is extended and gradual improvement of the level of functionality (LF) strategy is examined as PAs. Robustness and rapidity measures are considered as loss of LF and recovery time to indicate the overall disaster resilience. Besides, the resourcefulness and redundancy measures are considered pre-determined response plans and PAs aimed to improve disaster resilience. Two mathematical models are developed by applying these measures. Thereafter, graphical analytics are conducted to demonstrate the effectiveness of PAs and provide a better outlook for decision-makers. Then, mathematical analyses are conducted to show how the PAs affect resilience measures. It is mathematically proved that PAs exert considerable impacts on recovery time, loss of LF, and robustness. To illustrate the application of the proposed approach, it is applied to an upstream oil and gas company in the field of exploration and production. The results suggest that the approach is significantly effective in disaster response, planning, and mitigation.
AB - The present paper presents a quantitative approach to evaluate organizational resilience in sudden-onset disasters considering preparedness actions (PAs). The resilience triangle concept is extended and gradual improvement of the level of functionality (LF) strategy is examined as PAs. Robustness and rapidity measures are considered as loss of LF and recovery time to indicate the overall disaster resilience. Besides, the resourcefulness and redundancy measures are considered pre-determined response plans and PAs aimed to improve disaster resilience. Two mathematical models are developed by applying these measures. Thereafter, graphical analytics are conducted to demonstrate the effectiveness of PAs and provide a better outlook for decision-makers. Then, mathematical analyses are conducted to show how the PAs affect resilience measures. It is mathematically proved that PAs exert considerable impacts on recovery time, loss of LF, and robustness. To illustrate the application of the proposed approach, it is applied to an upstream oil and gas company in the field of exploration and production. The results suggest that the approach is significantly effective in disaster response, planning, and mitigation.
KW - Disaster operations management
KW - Disaster resilience
KW - Functionality improvement
KW - Pre-determined response plans
KW - Preparedness actions
KW - Sudden-onset disaster
U2 - 10.1016/j.jlp.2022.104956
DO - 10.1016/j.jlp.2022.104956
M3 - Journal article
AN - SCOPUS:85144070089
SN - 0950-4230
VL - 81
JO - Journal of Loss Prevention in the Process Industries
JF - Journal of Loss Prevention in the Process Industries
M1 - 104956
ER -