DC FieldValueLanguage
dc.contributor.authorSpyridakos, Athanasios-
dc.contributor.authorVasalakis, Stamatios-
dc.date.accessioned2024-03-28T08:35:56Z-
dc.date.available2024-03-28T08:35:56Z-
dc.date.issued2023-08-17-
dc.identifier.isbn978-3-031-34892-1-
dc.identifier.isbn978-3-031-34891-4-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1639-
dc.description.abstractThis research work aims to describe a Resource Management (RM) approach which was developed in such a generalized way that allows its adaption and implementation in other high-stake sectors. There are a lot of cases that there are strong needs for immediate response and the best possible allocation of resources. The below methodological approach is characterized as a bi-objective dynamical and deterministic. 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 utilizing 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.publisherSpringeren_US
dc.relation.ispartofMulticriteria Decision Aid and Resource Management: Recent Research, Methods and Applicationsen_US
dc.relation.ispartofseriesMultiple Criteria Decision Makingen_US
dc.subjectResource managementen_US
dc.subjectLinear programmingen_US
dc.subjectDynamical programmingen_US
dc.subjectTransportationen_US
dc.subjectEmergency health careen_US
dc.subjectAustralasian triage scaleen_US
dc.titleResource Management: A Bi-Objective Methodological Approach for Routing in Crisis Situationsen_US
dc.typeBook Chapteren_US
dc.identifier.doi10.1007/978-3-031-34892-1_3en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage33en_US
dc.identifier.epage58en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsSubscriptionen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeBook Chapter-
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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