Diskretnyi Analiz i Issledovanie Operatsii
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS


Diskretn. Anal. Issled. Oper.:
Year:
Volume:
Issue:
Page:
Find




Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register

Diskretnyi Analiz i Issledovanie Operatsii, 2021, Volume 28, Issue 2, Pages 5–34
DOI: https://doi.org/10.33048/daio.2021.28.702 (Mi da1275) 		 
This article is cited in 2 scientific papers (total in 2 papers)

Optimization of the ambulance fleet location and relocation

Yu. A. Kochetova, N. B. Shamrayb

a Sobolev Institute of Mathematics, 4 Acad. Koptyug Avenue, 630090 Novosibirsk, Russia
b Institute of Automation and Control Processes, 5 Radio Street, 690041 Vladivostok, Russia
Full-text PDF (888 kB) Citations (2)
References:
PDF
HTML
DOI: https://doi.org/10.33048/daio.2021.28.702
Abstract: We consider the problem of optimal location of an ambulance fleet at the base stations. The objective is to minimize the average waiting time for ambulance arrival. We elaborate a simulation model that describes a day of work of the Emergency Medical Service (EMS). This model takes into account the stochastic nature of the problem and the changing busyness of the city’s transport network. To solve the problem, a genetic local search algorithm was developed with 4 types of neighborhoods. The simulation model in this algorithm is used to compute the value of the objective function. We investigate the influence of neighborhoods on the accuracy of the obtained solutions and conduct computer simulations on the example of the Vladivostok EMS. We show that it is possible to reduce the average waiting time by 1.5 times. Some estimates on the impact of traffic congestion on the average waiting time are obtained. Tab. 4, illustr. 11, bibliogr. 28.
Keywords: optimization, emergency medical service, simulation model, genetic algorithm, local search.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation 0314-2019-0014
Russian Foundation for Basic Research 18-29-03071
The study of the first author is carried out under the state contract of the Sobolev Institute of Mathematics (Project 0314–2019–0014). The study of the second author is supported by the Russian Foundation for Basic Research (Project 18–29–03071).
Received: 09.11.2020
Revised: 13.01.2021
Accepted: 15.01.2021
English version:
Journal of Applied and Industrial Mathematics, 2021, Volume 15, Issue 2, Pages 234–252
DOI: https://doi.org/10.1134/S1990478921020058
Bibliographic databases:
Document Type: Article
UDC: 519.854
Language: Russian
Citation: Yu. A. Kochetov, N. B. Shamray, “Optimization of the ambulance fleet location and relocation”, Diskretn. Anal. Issled. Oper., 28:2 (2021), 5–34; J. Appl. Industr. Math., 15:2 (2021), 234–252
Citation in format AMSBIB
\Bibitem{KocSha21}
\by Yu.~A.~Kochetov, N.~B.~Shamray
\paper Optimization of~the~ambulance fleet location~and~relocation
\jour Diskretn. Anal. Issled. Oper.
\yr 2021
\vol 28
\issue 2
\pages 5--34
\mathnet{http://mi.mathnet.ru/da1275}
\crossref{https://doi.org/10.33048/daio.2021.28.702}
\transl
\jour J. Appl. Industr. Math.
\yr 2021
\vol 15
\issue 2
\pages 234--252
\crossref{https://doi.org/10.1134/S1990478921020058}
\scopus{https://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85116207030}
Linking options:
  • https://www.mathnet.ru/eng/da1275
  • https://www.mathnet.ru/eng/da/v28/i2/p5
    • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Дискретный анализ и исследование операций
    Statistics & downloads:
    Abstract page:253
    Full-text PDF :109
    References:27
    First page:10
     
      Contact us:
    		  Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024