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...
Saved in:
Main Authors: | , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2018
|
Subjects: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.sis_research-5253 |
---|---|
record_format |
dspace |
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 |