Using a genetic algorithm to solve a non-linear location allocation problem for specialised children's ambulances in England and Wales.
OR in health services location-allocation analysis emergency medical service integer programming genetic algorithms
Journal
Health systems (Basingstoke, England)
ISSN: 2047-6965
Titre abrégé: Health Syst (Basingstoke)
Pays: England
ID NLM: 101602681
Informations de publication
Date de publication:
2022
2022
Historique:
entrez:
23
9
2022
pubmed:
18
4
2021
medline:
18
4
2021
Statut:
epublish
Résumé
Since 1997, special paediatric intensive care retrieval teams (PICRTs) based in 11 locations across England and Wales have been used to transport sick children from district general hospitals to one of 24 paediatric intensive care units. We develop a location allocation optimisation framework to help inform decisions on the optimal number of locations for each PICRT, where those locations should be, which local hospital each location serves and how many teams should station each location. Our framework allows for stochastic journey times, differential weights for each journey leg and incorporates queuing theory by considering the time spent waiting for a PICRT to become available. We examine the average waiting time and the average time to bedside under different number of operational PICRT stations, different number of teams per station and different levels of demand. We show that consolidating the teams into fewer stations for higher availability leads to better performance.
Identifiants
pubmed: 36147554
doi: 10.1080/20476965.2021.1908176
pii: 1908176
pmc: PMC9487932
doi:
Types de publication
Journal Article
Langues
eng
Pagination
161-171Informations de copyright
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Déclaration de conflit d'intérêts
No potential conflict of interest was reported by the authors.
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