DC FieldValueLanguage
dc.contributor.authorSpyridakos, Athanasios-
dc.contributor.authorVasalakis, Stamatios-
dc.date.accessioned2024-04-03T07:51:48Z-
dc.date.available2024-04-03T07:51:48Z-
dc.date.issued2023-04-05-
dc.identifierscopus-85152580667-
dc.identifier.isbn978-3-031-24294-6-
dc.identifier.isbn978-3-031-24293-9-
dc.identifier.other85152580667-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1740-
dc.description.abstractThis research work aims to develop a deterministic methodological approach for transportation problems of ambulances in natural disasters, where there are strong needs for immediate response and the number of cases is high. The proposed methodological approach is based on the principles of Dynamical Programming (DP), which discretizes the optimization problems in stages and the techniques of Linear Programming (LP) to identify the optimal transportation plan at every stage. In addition, the dynamic of the problem is enhanced by the usage of live data from Google. This kind of problem is considered multiplicative because there are two principal objectives (a) the emergency to transport the injured according to their triage scale and (b) the immediate movement of the patients to the hospitals. Also, the problem can be characterized as multiplicative because of (a) the existence of many start points and destination points of the ambulances with different distances and availabilities, (b) the destination points of one stage become the start points of the next stage, increasing the multiplicity of the problem and (c) the need to achieve global optimization of the time response in relation to the emergency and priorities of the patients’ condition. The above proposed methodological approach is illustrated through a case study involving the timely transfer of injured people as a result of a natural disaster to the nearest hospitals at a local level.en_US
dc.language.isoenen_US
dc.relation.ispartofOperational Research in the Era of Digital Transformation and Business Analytics: BALCOR 2020en_US
dc.relation.ispartofseriesSpringer Proceedings in Business and Economicsen_US
dc.subjectAustralasian triage scaleen_US
dc.subjectDynamical programmingen_US
dc.subjectEmergency treatmenten_US
dc.subjectLinear programmingen_US
dc.subjectRisk managementen_US
dc.subjectTransportationen_US
dc.titlePrioritizing Mobility of Ambulances Based on a Bi-criterion and Multistage Approach in Overload Situationsen_US
dc.typeConference Paperen_US
dc.relation.conference14th Balkan Conference on Operational Research (Virtual BALCOR 2020) "Operational Research in the Era of Digital Transformation and Business Analytics", 30 September - 3 October 2020, Thessaloniki, Greeceen_US
dc.identifier.doi10.1007/978-3-031-24294-6_5en_US
dc.identifier.scopus2-s2.0-85152580667-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage39en_US
dc.identifier.epage47en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-9013-5659-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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