DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorSalmon, Ioannis-
dc.contributor.authorKomisopoulos, Faidon-
dc.date.accessioned2024-03-22T14:02:12Z-
dc.date.available2024-03-22T14:02:12Z-
dc.date.issued2022-10-01-
dc.identifierscopus-85141707557-
dc.identifier.isbn978-981-19-5845-8-
dc.identifier.issn2367-3389-
dc.identifier.issn2367-3370-
dc.identifier.other85141707557-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/1560-
dc.description.abstractAn Unmanned Aerial Vehicle (UAV) supply chain architecture is used to handle flood water leak incidents occurred by physical disasters in Smart Cities (SCs). Floods produce serious problems and inefficiencies in problematic sectors of water grid. Such incidents are treated as a supply chain problem, where each incident is assigned to a certain priority. On a trigger occurrence the nearest UAV reaches a certain flood water leak incident where the assigned plumber at the SC control system assesses the problem. SC personnel evaluate if it is a high significance incident to fix the problem in real time. In this paper, there are presented certain use cases, which are evaluated with proposed metrics incorporated by control system supply chain architecture to infer the optimum use case for SC recovery. Such a use case is proposed to be adopted by SC control system architecture to handle upcoming scenarios of flood physical disasters.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofProceedings of 3rd International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2022)en_US
dc.relation.ispartofseriesLecture Notes in Networks and Systemsen_US
dc.subjectArchitectureen_US
dc.subjectAutonomous UAVen_US
dc.subjectControl systemen_US
dc.subjectFlood water leaken_US
dc.subjectPhysical disaster recoveryen_US
dc.subjectSmart cityen_US
dc.subjectSupply chainen_US
dc.titleUAV-Enabled Supply Chain Architecture for Flood Recovery in Smart Citiesen_US
dc.typeConference Paperen_US
dc.relation.conference3rd International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2022), 1-2 July 2022, Kerala, Indiaen_US
dc.identifier.doi10.1007/978-981-19-5845-8_34en_US
dc.identifier.scopus2-s2.0-85141707557-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage483en_US
dc.identifier.epage496en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
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.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.orcid0009-0006-9089-8898-
crisitem.author.orcid0000-0002-5948-4922-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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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