In the existing framework for receiving and allocating Strategic National Stockpile (SNS) assistance, there are three noticeable delays: the delay by the state in requesting federal assets, the delay in the federal process which releases assets only upon the declaration of a disaster and lastly the time it takes to reach supplies rapidly from the SNS stockpile to where it is needed. The most efficient disaster preparedness plan is one that addresses all three delays taking into account the unique nature of each disaster. In this paper, we propose appropriate changes to the existing framework to address the first two delays and a generic model to address the third which determines the locations and capacities of stockpile sites that are opti...
Supporting humanitarian operations through the life cycle of a disaster can be divided into three st...
Applying historical hurricane data to model storm related uncertainty, this paper develops a stochas...
Applying historical hurricane data to model storm related uncertainty, this paper develops a stochas...
In the existing framework for receiving and allocating Strategic National Stockpile (SNS) assistance...
Catastrophic health events are natural or man-made incidents that result in casualty numbers that ov...
Catastrophic health events are natural or man-made incidents that result in casualty numbers that ov...
We propose a stochastic optimization approach for the storage and distribution problem of medical su...
Planning to mitigate the impacts of a disaster can be an important activity for both private compani...
The consequences of a disaster can be devastating in the absence of an effective disaster response. ...
The consequences of a disaster can be devastating in the absence of an effective disaster response. ...
None can predict a disaster precisely: where, when, and how big a disaster will strike one area. Thi...
PubMedID: 28580891We propose a stochastic programming model as a solution for optimizing the problem...
None can predict a disaster precisely: where, when, and how big a disaster will strike one area. Thi...
Applying historical hurricane data to model storm related uncertainty, this paper develops a stochas...
Researchers, government agencies and relief organizations continually seek ways to minimize the impa...
Supporting humanitarian operations through the life cycle of a disaster can be divided into three st...
Applying historical hurricane data to model storm related uncertainty, this paper develops a stochas...
Applying historical hurricane data to model storm related uncertainty, this paper develops a stochas...
In the existing framework for receiving and allocating Strategic National Stockpile (SNS) assistance...
Catastrophic health events are natural or man-made incidents that result in casualty numbers that ov...
Catastrophic health events are natural or man-made incidents that result in casualty numbers that ov...
We propose a stochastic optimization approach for the storage and distribution problem of medical su...
Planning to mitigate the impacts of a disaster can be an important activity for both private compani...
The consequences of a disaster can be devastating in the absence of an effective disaster response. ...
The consequences of a disaster can be devastating in the absence of an effective disaster response. ...
None can predict a disaster precisely: where, when, and how big a disaster will strike one area. Thi...
PubMedID: 28580891We propose a stochastic programming model as a solution for optimizing the problem...
None can predict a disaster precisely: where, when, and how big a disaster will strike one area. Thi...
Applying historical hurricane data to model storm related uncertainty, this paper develops a stochas...
Researchers, government agencies and relief organizations continually seek ways to minimize the impa...
Supporting humanitarian operations through the life cycle of a disaster can be divided into three st...
Applying historical hurricane data to model storm related uncertainty, this paper develops a stochas...
Applying historical hurricane data to model storm related uncertainty, this paper develops a stochas...