Reserved optimization: Handling incident priorities in emergency response systems

Emergency (medical, fire or criminal) Management Systems(EMSs) are crucial for ensuring public safety and security.Typically in many cities, less than 20% of the cases receivedby EMSs belong to the extremely serious category and require immediate help. Rest of the incidents typically are lessserious...

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Main Authors: KONDA, Muralidhar Konda, GHOSH, Supriyo, VARAKANTHAM, Pradeep
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/4250
https://ink.library.smu.edu.sg/context/sis_research/article/5253/viewcontent/17769_77859_1_PB.pdf
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spelling sg-smu-ink.sis_research-52532019-01-24T09:24:02Z Reserved optimization: Handling incident priorities in emergency response systems KONDA, Muralidhar Konda GHOSH, Supriyo VARAKANTHAM, Pradeep Emergency (medical, fire or criminal) Management Systems(EMSs) are crucial for ensuring public safety and security.Typically in many cities, less than 20% of the cases receivedby EMSs belong to the extremely serious category and require immediate help. Rest of the incidents typically are lessserious and thereby allow more flexibility in response time.Therefore, for efficient management of EMS requests, severalEMSs now categorise an incoming emergency request into apriority level based on well studied “triaging” methods. Leading research on optimising emergency response has either focussed on data-driven models for settings with homogenousincidents or on generic heuristics (that are not data-driven) inmulti-priority incident settings. 2018-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4250 https://ink.library.smu.edu.sg/context/sis_research/article/5253/viewcontent/17769_77859_1_PB.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Operations and Supply Chain Management
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Operations and Supply Chain Management
spellingShingle Operations and Supply Chain Management
KONDA, Muralidhar Konda
GHOSH, Supriyo
VARAKANTHAM, Pradeep
Reserved optimization: Handling incident priorities in emergency response systems
description Emergency (medical, fire or criminal) Management Systems(EMSs) are crucial for ensuring public safety and security.Typically in many cities, less than 20% of the cases receivedby EMSs belong to the extremely serious category and require immediate help. Rest of the incidents typically are lessserious and thereby allow more flexibility in response time.Therefore, for efficient management of EMS requests, severalEMSs now categorise an incoming emergency request into apriority level based on well studied “triaging” methods. Leading research on optimising emergency response has either focussed on data-driven models for settings with homogenousincidents or on generic heuristics (that are not data-driven) inmulti-priority incident settings.
format text
author KONDA, Muralidhar Konda
GHOSH, Supriyo
VARAKANTHAM, Pradeep
author_facet KONDA, Muralidhar Konda
GHOSH, Supriyo
VARAKANTHAM, Pradeep
author_sort KONDA, Muralidhar Konda
title Reserved optimization: Handling incident priorities in emergency response systems
title_short Reserved optimization: Handling incident priorities in emergency response systems
title_full Reserved optimization: Handling incident priorities in emergency response systems
title_fullStr Reserved optimization: Handling incident priorities in emergency response systems
title_full_unstemmed Reserved optimization: Handling incident priorities in emergency response systems
title_sort reserved optimization: handling incident priorities in emergency response systems
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/4250
https://ink.library.smu.edu.sg/context/sis_research/article/5253/viewcontent/17769_77859_1_PB.pdf
_version_ 1770574502018678784