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Assessing an ambulance service with queuing theory

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Title: Assessing an ambulance service with queuing theory
Authors: Singer, Marcos singer@faceapuc.cl, Donoso, Patricio1
Source: Computers & Operations Research. Aug2008, Vol. 35 Issue 8, p2549-2560. 12p.
Subjects: Game theory, Management science, Queuing theory, Production scheduling
Abstract: Abstract: We describe an ambulance service in terms of its main operation parameters and strategic decision variables. Assisted by queuing theory, we calculate the key performance indicators (KPI) that concern the manager and the KPI that concern the patient. We use them to improve the operation of a private ambulance service in Chile. First, we evaluate whether the historical performance is consistent with the resources deployed. Then, we estimate the impact of some operational enhancements, such as reducing the cycle time or enlarging the fleet. Finally, we optimize the geographical coverage of the bases. We conclude that simple mathematical expressions are very useful to evaluate and improve the operation. [Copyright &y& Elsevier]
Copyright of Computers & Operations Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Periodical
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  Data: Assessing an ambulance service with queuing theory
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  Data: <searchLink fieldCode="AR" term="%22Singer%2C+Marcos%22">Singer, Marcos</searchLink><i> singer@faceapuc.cl</i><br /><searchLink fieldCode="AR" term="%22Donoso%2C+Patricio%22">Donoso, Patricio</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Computers+%26+Operations+Research%22">Computers & Operations Research</searchLink>. Aug2008, Vol. 35 Issue 8, p2549-2560. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Game+theory%22">Game theory</searchLink><br /><searchLink fieldCode="DE" term="%22Management+science%22">Management science</searchLink><br /><searchLink fieldCode="DE" term="%22Queuing+theory%22">Queuing theory</searchLink><br /><searchLink fieldCode="DE" term="%22Production+scheduling%22">Production scheduling</searchLink>
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  Data: Abstract: We describe an ambulance service in terms of its main operation parameters and strategic decision variables. Assisted by queuing theory, we calculate the key performance indicators (KPI) that concern the manager and the KPI that concern the patient. We use them to improve the operation of a private ambulance service in Chile. First, we evaluate whether the historical performance is consistent with the resources deployed. Then, we estimate the impact of some operational enhancements, such as reducing the cycle time or enlarging the fleet. Finally, we optimize the geographical coverage of the bases. We conclude that simple mathematical expressions are very useful to evaluate and improve the operation. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Computers & Operations Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=27943707
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        Value: 10.1016/j.cor.2006.12.005
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      – SubjectFull: Queuing theory
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      – SubjectFull: Production scheduling
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              Text: Aug2008
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