000			01590nam a22002537a 4500
003			ZW-GwMSU
005			20230614151714.0
008			230614b |||||||| |||| 00| 0 eng d
040			_aMSU _cMSU _erda
100			_aTURNQUIST, Mark
245			_aDesign for resilience in infrastructure distribution networks
264			_aNew York _bSpringer _c2013
336			_2rdacontent _atext _btxt
337			_2rdamedia _aunmediated _bn
338			_2rdacarrier _avolume _bnc
440			_a Environment Systems & Decisions _vVolume , number ,
520			_aThe 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.
650			_aresilience
650			_anetwork optimisation
650			_ainfrastructures
700			_aVUGRIN, Eric
856			_uhttps://doi.org/10.1007/s10669-012-9428-z
942			_2lcc _cJA
999			_c162602 _d162602