Integrated reinforcement and repair of interdependent infrastructure networks under disaster-related uncertainties

Tugce Canbilen, Sakine Batun, Melih Çelik

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)


Natural or human-inflicted disasters may cause large-scale disruptions in the services of infrastructure networks including power, water, and telecommunication. Restoring the services of these infrastructures is vital in the aftermath of the disaster, so that search-and-rescue activities, relief transportation, and restoration efforts can be efficiently facilitated. On the other hand, operations of these infrastructures may depend on receiving services from one another, resulting in an interdependent network structure. Consequently, addressing the decisions of network reinforcement before the disaster and the repairs in its aftermath needs to take into account this interdependent structure, as well as the uncertainties arising from the timing, location, and magnitude of the disaster.

This paper introduces the Stochastic Interdependent Infrastructure Reinforcement and Repair Problem, which considers the pre-disaster reinforcement of interdependent network components and post-disaster repair scheduling in an integrated manner. In making these decisions, the uncertainty on which network components will be disrupted is incorporated into the problem definition. The problem is modeled using scenario-based two-stage stochastic programming. A heuristic based on a genetic algorithm and partial optimization is proposed to solve realistically-sized instances of the problem. Computational experiments not only show that the heuristic is able to find near-optimal solutions within reasonable times, but also illustrate the ability of the approach to help derive managerial insights.
Original languageEnglish
Pages (from-to)369-384
Number of pages16
JournalEuropean Journal of Operational Research
Issue number1
Early online date4 Nov 2022
Publication statusPublished - 1 Jul 2023


  • Disaster management
  • Genetic algorithms
  • Interdependent infrastructures
  • OR in societal problem analysis
  • Stochastic programming

ASJC Scopus subject areas

  • Computer Science(all)
  • Modelling and Simulation
  • Management Science and Operations Research
  • Information Systems and Management
  • Industrial and Manufacturing Engineering


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