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dc.contributor.authorAlsaadi, Ahmed K.
dc.contributor.authorKrishnan, Krishna K.
dc.contributor.authorAlmaktoom, Abdulaziz T.
dc.date.accessioned2020-05-21T19:11:17Z
dc.date.available2020-05-21T19:11:17Z
dc.date.issued2020
dc.identifier.citationAlsaadi, Ahmed K.; Krishnan, Krishna K.; Almaktoom, Abdulaziz T. 2020. Des. ign of response networks during disasters. 2016 Industrial and Systems Engineering Research Conference, ISERC 2016 2020, Pages 513-518en_US
dc.identifier.urihttps://www.researchgate.net/profile/Abdulaziz_Almaktoom/publication/317559803_Design_of_Response_Networks_during_Disasters/links/5d592a3492851cb74c74d445/Design-of-Response-Networks-during-Disasters.pdf
dc.identifier.urihttps://soar.wichita.edu/handle/10057/17673
dc.descriptionClick on the URI link to access the article (may not be free.en_US
dc.description.abstractEvery year the world faces many different and diverse types of disasters. The effects of these catastrophes are vast and disastrous for humanity. These effects include economic devastation, massive structural damage, and an enormous number of fatalities. The most critical stage in the management of disasters is the response phase. The design of an effective response network is important to mitigate the effects of a disaster. The primary mission of any response system deals with the search and rescue of civilians. But in this period, the response networks are working under abnormal operating conditions with an overload of demand and uncertainty of information. Accordingly, the decisions made to deploy response units are critical. This research proposes a mathematical model in which decision-makers can more accurately allocate response units immediately following the impact of a disaster. This will increase the foresight, resilience, and success of response networks and their control of resource systems. Consequently, the response system will be more effective in reducing the number of civilian injuries and ultimately fatalities.en_US
dc.language.isoen_USen_US
dc.publisherInstitute of Industrial Engineersen_US
dc.relation.ispartofseries2016 Industrial and Systems Engineering Research Conference;ISERC 2016 2020
dc.subjectDisastersen_US
dc.subjectFuzzy set theoryen_US
dc.subjectLocationen_US
dc.subjectResponse uniten_US
dc.subjectUncertaintyen_US
dc.titleDesign of response networks during disastersen_US
dc.typeConference paperen_US
dc.rights.holder© 2016 Proceedings of the 2016 Industrial and Systems Engineering Research Conference, ISERC 2016. All rights reserved.en_US


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