Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-33161-9_20
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dc.titleLocation and routing models for emergency response plans with priorities
dc.contributor.authorOran, A.
dc.contributor.authorTan, K.C.
dc.contributor.authorOoi, B.H.
dc.contributor.authorSim, M.
dc.contributor.authorJaillet, P.
dc.date.accessioned2013-10-09T03:28:12Z
dc.date.available2013-10-09T03:28:12Z
dc.date.issued2012
dc.identifier.citationOran, A.,Tan, K.C.,Ooi, B.H.,Sim, M.,Jaillet, P. (2012). Location and routing models for emergency response plans with priorities. Communications in Computer and Information Science 318 CCIS : 129-140. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-642-33161-9_20" target="_blank">https://doi.org/10.1007/978-3-642-33161-9_20</a>
dc.identifier.isbn9783642331602
dc.identifier.issn18650929
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/44153
dc.description.abstractIn emergency planning, consideration of emergency priorities is a necessity. This paper presents new formulations of the facility location problem (FLP) and vehicle routing problem with time windows (VRPTW) with considerations of priority. Our models ensure that higher priority locations are considered before the lower priority ones, for both facility and routing decisions. The FLP is solved using an MIP solver, while a tabu search based metaheuristic is developed for the solution of the VRPTW. Under a set of possible emergency scenarios with limited emergency resources, our models were able to serve higher priority locations better than the much utilized Maximal Coverage Location Problem (MCLP) model. We also present preliminary work and results for an integrated location-routing analysis which improves service results further. © 2012 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-642-33161-9_20
dc.sourceScopus
dc.subjectEmergency Planning
dc.subjectFacility Siting
dc.subjectMCLP
dc.subjectVRPTW
dc.typeConference Paper
dc.contributor.departmentDECISION SCIENCES
dc.description.doi10.1007/978-3-642-33161-9_20
dc.description.sourcetitleCommunications in Computer and Information Science
dc.description.volume318 CCIS
dc.description.page129-140
dc.identifier.isiutNOT_IN_WOS
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