A kernel approach to the estimation of performance measures in a helicopter ambulance service with missing data
We study two different operational scenarios for a regional air ambulance service-company which has bases in Northern California. Two of these bases serve the land areas encompassed roughly in a circular area of radius 100 miles centered in Gilroy and Salinas, respectively; with a large part of thei...
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-21432017-05-24T16:07:35Z A kernel approach to the estimation of performance measures in a helicopter ambulance service with missing data Gunes, Ersan Szechtman, Roberto Lin, Kyle Y. Naval Postgraduate School (U.S). Operations Research Helicopter ambulances California Kernel functions Poisson processes We study two different operational scenarios for a regional air ambulance service-company which has bases in Northern California. Two of these bases serve the land areas encompassed roughly in a circular area of radius 100 miles centered in Gilroy and Salinas, respectively; with a large part of their coverage areas reachable from either base. The base in Salinas currently operates one helicopter only from Thursday to Monday, whereas the base in Gilroy operates one helicopter 24/7. The company is considering extending the operation of one helicopter to 24/7 for its Salinas base. In this study we analyze the operational impacts of that extension, and develop a framework that can be applied towards the study of the ambulance assignment problem faced by small operators. pa/cb Original. 10/06/05. updated 09/09/2011. 2012-03-14T17:34:17Z 2012-03-14T17:34:17Z 2005-06 Thesis http://hdl.handle.net/10945/2143 61853382 Approved for public release, distribution unlimited xviii, 71 p. : ill. (some col.), maps ; application/pdf Monterey, California. Naval Postgraduate School |
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Helicopter ambulances California Kernel functions Poisson processes |
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Helicopter ambulances California Kernel functions Poisson processes Gunes, Ersan A kernel approach to the estimation of performance measures in a helicopter ambulance service with missing data |
description |
We study two different operational scenarios for a regional air ambulance service-company which has bases in Northern California. Two of these bases serve the land areas encompassed roughly in a circular area of radius 100 miles centered in Gilroy and Salinas, respectively; with a large part of their coverage areas reachable from either base. The base in Salinas currently operates one helicopter only from Thursday to Monday, whereas the base in Gilroy operates one helicopter 24/7. The company is considering extending the operation of one helicopter to 24/7 for its Salinas base. In this study we analyze the operational impacts of that extension, and develop a framework that can be applied towards the study of the ambulance assignment problem faced by small operators. === pa/cb Original. 10/06/05. updated 09/09/2011. |
author2 |
Szechtman, Roberto |
author_facet |
Szechtman, Roberto Gunes, Ersan |
author |
Gunes, Ersan |
author_sort |
Gunes, Ersan |
title |
A kernel approach to the estimation of performance measures in a helicopter ambulance service with missing data |
title_short |
A kernel approach to the estimation of performance measures in a helicopter ambulance service with missing data |
title_full |
A kernel approach to the estimation of performance measures in a helicopter ambulance service with missing data |
title_fullStr |
A kernel approach to the estimation of performance measures in a helicopter ambulance service with missing data |
title_full_unstemmed |
A kernel approach to the estimation of performance measures in a helicopter ambulance service with missing data |
title_sort |
kernel approach to the estimation of performance measures in a helicopter ambulance service with missing data |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/2143 |
work_keys_str_mv |
AT gunesersan akernelapproachtotheestimationofperformancemeasuresinahelicopterambulanceservicewithmissingdata AT gunesersan kernelapproachtotheestimationofperformancemeasuresinahelicopterambulanceservicewithmissingdata |
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1718452905931964416 |