Decision Support System for Resource Allocation in Disaster Management

Kondaveti, Russell

Publication:
Decision Support System for Resource Allocation in Disaster Management

dc.contributor.advisor	Aura Ganz
dc.contributor.author	Kondaveti, Russell
dc.contributor.department	University of Massachusetts Amherst
dc.contributor.department	Electrical & Computer Engineering
dc.date	2023-09-22T20:53:44.000
dc.date.accessioned	2024-04-26T21:09:19Z
dc.date.available	2010-02-28T00:00:00Z
dc.date.issued	2010-01-01
dc.date.submitted	May
dc.description.abstract	Natural and man-made disasters, such as earthquakes, floods, plane crashes, high-rise building collapses, or major nuclear facility malfunctions, pose an ever-present challenge to public emergency services. Disasters may result in a large volume of responders arriving on-scene to provide assistance to victims. Coordination of responding resources is a major problem in disasters. The main motivation for the work is that disaster response and recovery efforts require timely interaction and coordination of public emergency services in order to save lives and property. In the present research effort, we are primarily concerned with assisting the Emergency medical agencies that deal with emergency situations by developing a decision-support system that can help them respond quickly and efficiently to a given situation. The overall goal of this project develop a practical solution for the resource allocation problem which can be integrated with the DIORAMA system that we have developed in our lab. The DIORAMA system collects information like victim’s location and condition in disaster site. Based on the information collected by the DIORAMA system, we developed an algorithm that can find the nearest resources from the disaster site to mitigate the risk. This problem can be solved in two phases, allocation and dispatching. The Emergency manager will provide the system Priority ratings of the cluster with respect to the emergency response resources and also the demands at each cluster. In the first phase allocation, we determine the number of emergency resources that can be allocated at each cluster which minimizes the overall risk. We define risk as the fraction of the unsatisfied demand. The output of this phase is the optimal resource allocation table. In the second phase, we find the nearest resource warehouse that can cater the demands of the cluster and dispatch the resources accordingly to the disaster site. This is also an integer programming problem. The final output of this phase is the dispatch table from which we can determine from where should the resources has to be sent to the clusters for an efficient and timely response. This is also rendered on Google Maps.
dc.description.degree	Master of Science in Electrical and Computer Engineering (M.S.E.C.E.)
dc.identifier.doi	https://doi.org/10.7275/1124521
dc.identifier.uri	https://hdl.handle.net/20.500.14394/47299
dc.relation.url	https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1499&context=theses&unstamped=1
dc.source.status	published
dc.subject	Electrical engineering
dc.subject	Emergency Response
dc.subject	Disaster
dc.subject	Optimization
dc.subject	Resource Allocation
dc.subject	Decision support system
dc.subject	Computer Engineering
dc.subject	Operational Research
dc.subject	Systems Engineering
dc.subject	Computer science
dc.title	Decision Support System for Resource Allocation in Disaster Management
dc.type	campus
dc.type	article
dc.type	thesis
digcom.contributor.author	isAuthorOfPublication\|email:russell.kondaveti@gmail.com\|institution:University of Massachusetts Amherst\|Kondaveti, Russell
digcom.date.embargo	2010-02-28T00:00:00-08:00
digcom.identifier	theses/416
digcom.identifier.contextkey	1124521
digcom.identifier.submissionpath	theses/416
dspace.entity.type	Publication