Static and dynamic resource allocation models for recovery of interdependent systems: application to the Deepwater Horizon oil spill

MacKenzie, Cameron A.; Baroud, Hiba; Barker, Kash

doi:10.1007/s10479-014-1696-1

Cited by 22 publications

(16 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These disruptions can be oil shortages, oil spills, or disruptions in oil terminals. The Deepwater Horizon oil spill in the Gulf of Mexico in 2010 may have led to production losses in the Gulf region between $11 billion and $12 billion [45]. A 2.5% reduction in oil production for a year could cost $3 billion in the United States, and a 40% reduction in rare earth metals could cost over $50 million [46].…”

Section: Other Disruptionsmentioning

confidence: 99%

The economic costs of natural disasters, terrorist attacks, and other calamities: An analysis of economic models that quantify the losses caused by disruptions

Kazimi

MacKenzie

2016

2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)

Self Cite

View full text Add to dashboard Cite

Over the past decade, numerous studies have estimated the economic impacts of a variety of disruptions. Most of these studies are based on macroeconomic models that quantify the direct and indirect economic losses from a disruption. Direct economic losses occur due to damaged facilities or when consumers change their purchasing behavior because of the disruption. Indirect economic losses occur when directly impacted businesses consequently reduce their orders to their suppliers. Indirect economic losses are often larger than direct economic losses. This paper compiles the results from these economic models in order to compare the costs of different disruptions and help decision makers prioritize among disruptions. We compare the direct and indirect economic losses from a variety of disruptions, including earthquakes, hurricanes, terrorist attacks, pandemic diseases, and port closures. Some studies model hypothetical scenarios, but other studies quantify the economic losses from historical events such as the September 11 attacks and the 2011 Japanese tsunami. This paper provides a useful benchmark to understand the consequences from disruptions and highlight areas that public officials could address in planning for future disruptions.

show abstract

Section: Other Disruptionsmentioning

confidence: 99%

The economic costs of natural disasters, terrorist attacks, and other calamities: An analysis of economic models that quantify the losses caused by disruptions

Kazimi

MacKenzie

2016

2016 IEEE Systems and Information Engineering Design Symposium (SIEDS)

Self Cite

View full text Add to dashboard Cite

show abstract

“…The IIM and its extensions, included among the top 10 contributions to risk analysis from 1980 to 2010, (38) have been found in a number of risk-related applications, including inventory decision making, (39,40) transportation closures, (41,42) workforce disruptions, (43,44) and electric power outages, (45,46) among others.…”

Section: Model Of Interdependent Behaviormentioning

confidence: 99%

Inherent Costs and Interdependent Impacts of Infrastructure Network Resilience

et al. 2014

Self Cite

View full text Add to dashboard Cite

Recent studies in system resilience have proposed metrics to understand the ability of systems to recover from a disruptive event, often offering a qualitative treatment of resilience. This work provides a quantitative treatment of resilience and focuses specifically on measuring resilience in infrastructure networks. Inherent cost metrics are introduced: loss of service cost and total network restoration cost. Further, "costs" of network resilience are often shared across multiple infrastructures and industries that rely upon those networks, particularly when such networks become inoperable in the face of disruptive events. As such, this work integrates the quantitative resilience approach with a model describing the regional, multi-industry impacts of a disruptive event to measure the interdependent impacts of network resilience. The approaches discussed in this article are deployed in a case study of an inland waterway transportation network, the Mississippi River Navigation System.

show abstract

“…Some studies have been conducted to address optimal resource allocation in post-disaster recovery scenarios of infrastructure systems. With the objective of minimizing the direct impacts from a disruption and the sum of the direct and indirect impacts, Mackenzie et al [15] proposed and compared two different decision models to determine optimal resource allocation to assist the recovery of disrupted infrastructure systems. To minimize the overall losses resulting from a disaster, Mackenzie et al [16] developed a static model and a dynamic decision model to facilitate the recovery of infrastructure systems.…”

Section: Introductionmentioning

confidence: 99%

“…With the objective of minimizing the direct impacts from a disruption and the sum of the direct and indirect impacts, Mackenzie et al [15] proposed and compared two different decision models to determine optimal resource allocation to assist the recovery of disrupted infrastructure systems. To minimize the overall losses resulting from a disaster, Mackenzie et al [16] developed a static model and a dynamic decision model to facilitate the recovery of infrastructure systems. Through a vulnerability analysis, Zhang et al [17] developed a resource allocation model to quickly restore critical components in interdependent infrastructure systems after a disruptive event.…”

Section: Introductionmentioning

confidence: 99%

A Two-Stage Restoration Resource Allocation Model for Enhancing the Resilience of Interdependent Infrastructure Systems

2019

View full text Add to dashboard Cite

Infrastructure systems play a critical role in delivering essential services that are important to the economy and welfare of society. To enhance the resilience of infrastructure systems after a large-scale disruptive event, determining where and when to invest restoration resources is a challenge for decision makers. Comprehensively considering the recovery time of infrastructure systems and the overall losses resulting from a disaster, this study proposes a two-stage restoration resource allocation model for enhancing the resilience of interdependent infrastructure systems. First, to evaluate the effect of resource allocation during the recovery process, dynamic resilience is selected as the criterion for the recovery of infrastructure systems. Second, taking into consideration the decision makers’ point of view, a two-stage resource allocation model is proposed. The objective of the first stage is to quickly recover the infrastructure systems’ dynamic resilience to meet the basic needs of the users. The second stage is aimed at minimizing the overall losses in the following recovery process. The effects of infrastructure interdependencies on resource allocation are incorporated in the model using the dynamic inoperability input–output model. Through a case study, the proposed approach is compared with other resource allocation strategies. The results show that: (1) the restoration resource allocation strategy obtained from the proposed approach balances the recovery time and the overall losses to infrastructure systems; and (2) the value of the usage cost of the unit restoration resource has a significant impact on the recovery time and the overall losses under different strategies. The proposed model is both effective and efficient in solving the post-disaster resource allocation problem and can provide decision makers with scientific decision support.

show abstract

Static and dynamic resource allocation models for recovery of interdependent systems: application to the Deepwater Horizon oil spill

Cited by 22 publications

References 49 publications

The economic costs of natural disasters, terrorist attacks, and other calamities: An analysis of economic models that quantify the losses caused by disruptions

The economic costs of natural disasters, terrorist attacks, and other calamities: An analysis of economic models that quantify the losses caused by disruptions

Inherent Costs and Interdependent Impacts of Infrastructure Network Resilience

A Two-Stage Restoration Resource Allocation Model for Enhancing the Resilience of Interdependent Infrastructure Systems

Contact Info

Product

Resources

About