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Quantitative Models for Infrastructure Restoration After Extreme Events: Network Optimization Meets Scheduling

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Mathematics of Planet Earth

Part of the book series: Mathematics of Planet Earth ((MPE,volume 5))

Abstract

This chapter focuses on the recovery of critical infrastructure systems from large-scale disruptive events and shows how optimization can help guide decision makers in the restoration process. The operation of an infrastructure system is modeled as a network flow problem, which can be used to assess the impact of the disruption on the services provided by the system. To restore the disrupted services, decision makers must schedule the repair operations by allocating scarce resources such as work crews and equipment over time. An overview of the relevant areas of network flows and scheduling is followed by a discussion of how techniques from network optimization and scheduling can be integrated to quantitatively model infrastructure restoration.

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Author information

Authors and Affiliations

  1. Department of Industrial and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA

    Thomas C. Sharkey

  2. Department of Industrial Engineering, University of Arkansas, Fayetteville, AR, USA

    Sarah G. Nurre Pinkley

Authors
  1. Thomas C. Sharkey
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  2. Sarah G. Nurre Pinkley
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Corresponding author

Correspondence to Thomas C. Sharkey .

Editor information

Editors and Affiliations

  1. Mathematics and Statistics, Georgetown University, Washington, DC, USA

    Hans G. Kaper

  2. DIMACS Center, Rutgers University, Piscataway, NJ, USA

    Fred S. Roberts

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Sharkey, T.C., Pinkley, S.G.N. (2019). Quantitative Models for Infrastructure Restoration After Extreme Events: Network Optimization Meets Scheduling. In: Kaper, H., Roberts, F. (eds) Mathematics of Planet Earth. Mathematics of Planet Earth, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-030-22044-0_12

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