Design for resilience in infrastructure distribution networks
Material type:
- text
- unmediated
- volume
Item type | Current library | Call number | Vol info | Status | Notes | Date due | Barcode | |
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Main Library - Special Collections | GE170 ENV (Browse shelf(Opens below)) | Vol.33 , No.1 (Mar 2013) | Not for loan | For In House Use Only |
The recognition that resilience is a critical aspect of infrastructure security has caused the national and homeland security communities to ask “How does one ensure infrastructure resilience?” Previous network resilience analysis methods have generally focused on either pre-disruption prevention investments or post-disruption recovery strategies. This paper expands on those methods by introducing a stochastic optimization model for designing network infrastructure resilience that simultaneously considers pre- and post-disruption activities. The model seeks investment–recovery combinations that minimize the overall cost to a distribution network across a set of disruption scenarios. A set of numerical experiments illustrates how changes to disruption scenarios probabilities affect the optimal resilient design investments.
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