Sizing capacity levels in emergency medical services dispatch centers: Using the newsvendor approach

dc.contributor.author Gorkem Sariyer
dc.contributor.author Sariyer, Gorkem
dc.date MAY
dc.date.accessioned 2025-10-06T16:20:04Z
dc.date.issued 2018
dc.description.abstract Background: The increased volume in demand world wide in the present day has led to the need for the establishment of effective ambulance services. As call centers have become the primary contact point between patients and emergency service providers the planning of the call center has become a key task for administrators. Objectives: The aim of this study is to apply a widely used operations management method the news vendor model for optimizing the capacity level in EMS call centers with a minimum cost in order to efficiently meet the calls arriving. Methods: Real-life data from a call center for ambulance services in a major city in Turkey was used. We propose using the news vendor model for optimizing this call center's capacity level based on the forecasts of periodic call volumes via basic methods. Results: Ambulance service call volumes vary during the day and weekday call profiles are different from weekends. By separating the analysis into weekdays and weekends and illustrating shorter time intervals within the days call volume can be forecast. Taking not only the point forecast but also the variation of the forecast into account the capacity level of each period can be planned in a cost-effective way. Conclusions: This paper provides a basis for operation planning strategies of ambulance services by reconsidering the uncertainties of demand. The news vendor model which works well under parameter uncertainty can be used in planning the capacities of health care services especially when high service levels are required. (C) 2017 Elsevier Inc. All rights reserved.
dc.identifier.doi 10.1016/j.ajem.2017.10.027
dc.identifier.issn 0735-6757
dc.identifier.issn 1532-8171
dc.identifier.scopus 2-s2.0-85031728292
dc.identifier.uri http://dx.doi.org/10.1016/j.ajem.2017.10.027
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/6172
dc.identifier.uri https://doi.org/10.1016/j.ajem.2017.10.027
dc.language.iso English
dc.publisher W B SAUNDERS CO-ELSEVIER INC
dc.relation.ispartof The American Journal of Emergency Medicine
dc.rights info:eu-repo/semantics/closedAccess
dc.source AMERICAN JOURNAL OF EMERGENCY MEDICINE
dc.subject Call volume, Dispatch center, Ems, Forecasting, Capacity sizing
dc.subject TELEPHONE CALL CENTER, TIME, DEMAND, MODEL, UNCERTAINTY, EXTENSIONS, ARRIVALS, SCIENCE
dc.subject Dispatch Center
dc.subject Capacity Sizing
dc.subject Call Volume
dc.subject EMS
dc.subject Forecasting
dc.title Sizing capacity levels in emergency medical services dispatch centers: Using the newsvendor approach
dc.type Article
dspace.entity.type Publication
gdc.author.id sariyer, görkem/0000-0002-8290-2248
gdc.author.institutional Sariyer, Gorkem (57189867008)
gdc.author.scopusid 57189867008
gdc.author.wosid sariyer, görkem/AAA-1524-2019
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department
gdc.description.departmenttemp [Sariyer, Gorkem] Yasar Univ, Fac Econ & Adm Sci, Izmir, Turkey
gdc.description.endpage 815
gdc.description.issue 5
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 804
gdc.description.volume 36
gdc.description.woscitationindex Science Citation Index Expanded - Social Science Citation Index
gdc.identifier.openalex W2763872977
gdc.identifier.pmid 29055616
gdc.identifier.wos WOS:000431724600015
gdc.index.type WoS
gdc.index.type PubMed
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 3.0
gdc.oaire.influence 3.011595E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Emergency Medical Services
gdc.oaire.keywords Databases, Factual
gdc.oaire.keywords Turkey
gdc.oaire.keywords Emergency Medical Service Communication Systems
gdc.oaire.keywords Ambulances
gdc.oaire.keywords Emergency Responders
gdc.oaire.keywords Efficiency, Organizational
gdc.oaire.keywords Organizational Case Studies
gdc.oaire.keywords Humans
gdc.oaire.popularity 4.868885E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 01 natural sciences
gdc.oaire.sciencefields 0101 mathematics
gdc.openalex.collaboration National
gdc.openalex.fwci 1.5553
gdc.openalex.normalizedpercentile 0.86
gdc.opencitations.count 6
gdc.plumx.crossrefcites 8
gdc.plumx.facebookshareslikecount 185972
gdc.plumx.mendeley 38
gdc.plumx.pubmedcites 4
gdc.plumx.scopuscites 8
gdc.scopus.citedcount 8
gdc.wos.citedcount 9
oaire.citation.endPage 815
oaire.citation.startPage 804
person.identifier.orcid sariyer- gorkem/0000-0002-8290-2248
publicationissue.issueNumber 5
publicationvolume.volumeNumber 36
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