Integrated mitigation, restoration, and scheduling problem for interdependent infrastructure networks
Başlık çevirisi mevcut değil.
- Tez No: 400323
- Danışmanlar: PROF. WILLIAM A. WALLACE
- Tez Türü: Doktora
- Konular: İnşaat Mühendisliği, Savunma ve Savunma Teknolojileri, Civil Engineering, Defense and Defense Technologies
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2012
- Dil: İngilizce
- Üniversite: Rensselaer Polytechnıc Instıtute
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Ulusal ve Uluslararası Güvenlik Stratejileri Ana Bilim Dalı
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
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Özet (Çeviri)
We consider the problem faced by managers of interdependent civil infrastructuresystems of mitigating the impact of a non-routine event, and restoring essentialpublic services after this non-routine event causes disruptions to these services. Inorder to restore the services, we must determine the set of components (or tasks)that will be temporarily installed or repaired, assign these tasks to work groups,and then determine the schedule of each work group to complete the tasks assignedto it.This research considers a novel integrated interdependent network design andscheduling problem (IINDS) that can serve as a decision aid to formulate the restorationeorts in these interdependent infrastructure systems. The objective functionof the problem provides a measure of the community resilience, which is the abilityof communities to carry out response and recovery activities in ways that minimizephysical and social disruptions. The objective function of IINDS problem evaluateshow well the services are being restored over the horizon of the restoration plan,rather than just focusing on the performance of the systems after all restoration effortsare complete. We develop new optimization methods for this class of problemsthat use concepts from the areas of network ows and scheduling.Our methods are tested on realistic data sets representing the infrastructuresystems of New Hanover County in North Carolina and Lower Manhattan area ofNew York City, which were created through collaborations with managers of thesesystems. Our computational results demonstrate that we can provide integratedrestoration and scheduling plans of high quality with limited computational resources.We also discuss the benets of centralized decision making and informationsharing among interdependent infrastructure systems as opposed to independentdecision making of each infrastructure separately. Further, we provide a mathematicalframework that integrates pre-event mitigation decisions into IINDS problem.Finally, we discuss future research directions about how IINDS problem can beextended to model other ow network systems.
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