An optimization framework for healthcare facility fortification: A scenario-based defender–attacker model
Abstract
Healthcare systems are increasingly strained by aging populations, increasing prevalence of chronic diseases, environmental instability, and persistent inequalities in access to care. At the facility level, these pressures are compounded by operational disruptions such as staff shortages, equipment breakdowns, and demand surges, all of which threaten reliable service delivery. Strengthening infrastructure resilience is therefore critical, but comprehensive redesign is rarely feasible under budget constraints. This study proposes an optimization framework for healthcare facility fortification based on a scenario-driven defender-attacker model. The framework guides cost-effective investment decisions that enhance service reliability without requiring prior knowledge of disruption probabilities. Instead, it adopts a worst-case perspective, evaluating resilience through two complementary measures: (i) a vulnerability index obtained by simulating the most damaging disruption under a given defensive configuration, and (ii) an elasticity measure that relates system degradation to the ratio of defensive investment to disruptive effort. By analyzing a range of fortification scenarios, the model identifies non-dominated strategies that balance resilience gains with financial efficiency. The results provide actionable insights for decision-makers and practitioners, supporting targeted reinforcement of healthcare facilities to improve long-term resilience in the face of uncertainty. • Scenario-based defender–attacker model to assess healthcare resilience. • Fortification strategies considering patient preferences with reduced travel distance. • Two resilience metrics: vulnerability index and elasticity measure. • Optimized fortification balances resilience gains with efficient resource use.
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BibTeX
@article{baret2026optimization,
title = {{An optimization framework for healthcare facility fortification: A scenario-based defender–attacker model}},
author = {Isaline Baret and Yassine Ouazene and Nhan Quy Nguyen and Farouk Yalaoui},
journal = {International journal of critical infrastructure protection},
year = {2026},
month = nov,
doi = {10.1016/j.ijcip.2026.100847},
url = {https://utt.hal.science/hal-05852345v1},
note = {CC BY},
}
RIS
TY - JOUR
TI - An optimization framework for healthcare facility fortification: A scenario-based defender–attacker model
AU - Isaline Baret
AU - Yassine Ouazene
AU - Nhan Quy Nguyen
AU - Farouk Yalaoui
PY - 2026
DA - 2026/11/04
JO - International journal of critical infrastructure protection
DO - 10.1016/j.ijcip.2026.100847
UR - https://utt.hal.science/hal-05852345v1
AB - Healthcare systems are increasingly strained by aging populations, increasing prevalence of chronic diseases, environmental instability, and persistent inequalities in access to care. At the facility level, these pressures are compounded by operational disruptions such as staff shortages, equipment breakdowns, and demand surges, all of which threaten reliable service delivery. Strengthening infrastructure resilience is therefore critical, but comprehensive redesign is rarely feasible under budget constraints. This study proposes an optimization framework for healthcare facility fortification based on a scenario-driven defender-attacker model. The framework guides cost-effective investment decisions that enhance service reliability without requiring prior knowledge of disruption probabilities. Instead, it adopts a worst-case perspective, evaluating resilience through two complementary measures: (i) a vulnerability index obtained by simulating the most damaging disruption under a given defensive configuration, and (ii) an elasticity measure that relates system degradation to the ratio of defensive investment to disruptive effort. By analyzing a range of fortification scenarios, the model identifies non-dominated strategies that balance resilience gains with financial efficiency. The results provide actionable insights for decision-makers and practitioners, supporting targeted reinforcement of healthcare facilities to improve long-term resilience in the face of uncertainty. • Scenario-based defender–attacker model to assess healthcare resilience. • Fortification strategies considering patient preferences with reduced travel distance. • Two resilience metrics: vulnerability index and elasticity measure. • Optimized fortification balances resilience gains with efficient resource use.
SN - 1874-5482
SN - 2212-2087
ER -