Pre-Positioning of Emergency Items for CARE International
By Serhan Duran, M. A. Gutierrez, Pinar Keskinocak. Interfaces, 2011
359 citations recorded by the source corpus.
Each year, about 500 natural disasters kill approximately 70,000 people and affect more than 200 million people worldwide. In the aftermath of such events, large quantities of supplies are needed to provide relief aid to the affected. CARE International is one of the largest humanitarian organizations that provide relief aid to disaster survivors. The most vital issues in disaster response are agility in mobilizing supplies and effectiveness in distributing them. To improve disaster response, a research group from Georgia Institute of Technology collaborated with CARE to develop a model to evaluate the effect that pre-positioning relief items would have on CARE's average relief-aid emergency response time. The model's results helped CARE managers to determine a desired configuration for the organization's pre-positioning network. Based on the results of our study and other factors, CARE has pre-positioned relief supplies in three facilities around the world.
Subfields: Ocean Engineering, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/17eb1d69caa602fb24fb03ffd01c8c7efce8bd10
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ocean Engineering
In Organizational Behavior and Human Resource Management
In Sociology and Political Science
Citations in the corpus
- Investing in disaster management capabilities versus pre-positioning inventory: A new approach to disaster preparedness (2014, background): “…its effectiveness, and thus reduce the impact of disasters worldwide, academics and practitioners are increasingly calling for the implementation of disaster preparedness (Duran et al., 2011; Gatignon et al., 2010; Jahre et al., 2009; Kovács et al., 2010; Perry, 2007; Van Wassenhove, 2006).”
- Stochastic optimization models for location and inventory prepositioning of disaster relief supplies (2020, background): “…2010; Rawls and Turnquist, 2010), minimizing trade-off of total cost with Conditional Value-at-Risk (Noyan, 2012), minimizing expected response time (Duran et al., 2011), minimizing expected casualties (Salmerón and Apte, 2010), maximizing coverage by Social Vulnerability Index (Alem et al.,…”