Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty

DOI10.1016/j.ejor.2021.04.025zbMath1487.90655OpenAlexW3159810645WikidataQ113102323 ScholiaQ113102323MaRDI QIDQ2239951

Haitao Liao, Basem A. Alkhaleel, Kelly M. Sullivan

Publication date: 5 November 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2021.04.025

zbMATH Keywords

stochastic optimizationrisk measuresrestoration(O) OR in disaster relief

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Stochastic programming (90C15) Deterministic scheduling theory in operations research (90B35) Deterministic network models in operations research (90B10) Case-oriented studies in operations research (90B90)

Related Items (3)

Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks ⋮ A data-driven distributionally robust approach for the optimal coupling of interdependent critical infrastructures under random failures ⋮ Synchronizing victim evacuation and debris removal: a data-driven robust prediction approach

Uses Software

• CPLEX
• Python
• LHS

Cites Work

• Unnamed Item
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