<?xml version="1.0"?><rdf:RDF xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:edm="http://www.europeana.eu/schemas/edm/" xmlns:wgs84_pos="http://www.w3.org/2003/01/geo/wgs84_pos" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdaGr2="http://rdvocab.info/ElementsGr2" xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:ore="http://www.openarchives.org/ore/terms/" xmlns:skos="http://www.w3.org/2004/02/skos/core#" xmlns:dcterms="http://purl.org/dc/terms/"><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-6P7QJZ36/1055c9e3-6c18-43e4-ad31-f30a7189e165/PDF"><dcterms:extent>1809 KB</dcterms:extent></edm:WebResource><edm:WebResource rdf:about="http://www.dlib.si/stream/URN:NBN:SI:DOC-6P7QJZ36/7bd665df-6efa-4053-88a1-dc2cf5b3cd0e/TEXT"><dcterms:extent>0 KB</dcterms:extent></edm:WebResource><edm:ProvidedCHO rdf:about="URN:NBN:SI:DOC-6P7QJZ36"><dcterms:issued>2025</dcterms:issued><dc:creator>Fan, P.</dc:creator><dc:format xml:lang="sl">številka:2</dc:format><dc:format xml:lang="sl">letnik:20</dc:format><dc:format xml:lang="sl">str. 205-223</dc:format><dc:identifier>DOI:10.14743/apem2025.2.536</dc:identifier><dc:identifier>ISSN:1854-6250</dc:identifier><dc:identifier>COBISSID_HOST:266163203</dc:identifier><dc:identifier>URN:URN:NBN:SI:doc-6P7QJZ36</dc:identifier><dc:language>en</dc:language><dc:publisher xml:lang="sl">Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</dc:publisher><dc:source xml:lang="sl">Advances in production engineering and management</dc:source><dc:subject xml:lang="en">0-1 integer programming model</dc:subject><dc:subject xml:lang="en">analytic hierarchy process</dc:subject><dc:subject xml:lang="sl">blagovne rezerve</dc:subject><dc:subject xml:lang="en">cross-regional distribution</dc:subject><dc:subject xml:lang="en">emergency rescue</dc:subject><dc:subject xml:lang="en">emergency supplies storage</dc:subject><dc:subject xml:lang="en">grade-based location selection system</dc:subject><dc:subject xml:lang="sl">izbira lokacije zalog materiala</dc:subject><dc:subject xml:lang="en">location optimization</dc:subject><dc:subject xml:lang="en">multi-objective optimization</dc:subject><dc:subject xml:lang="sl">naravne nesreče</dc:subject><dc:subject xml:lang="en">natural disasters</dc:subject><dc:subject xml:lang="sl">optimizacija</dc:subject><dc:subject xml:lang="sl">pravočasen odziv</dc:subject><dc:subject xml:lang="en">risk level</dc:subject><dc:subject xml:lang="sl">upravljanje tveganj</dc:subject><dc:subject xml:lang="sl">večkriterijska optimizacija</dc:subject><dc:title xml:lang="sl">A multi-objective approach for optimizing emergency material locations in natural disasters|</dc:title><dc:description xml:lang="sl">In response to the increasing frequency of natural disasters globally, and particularly in the Guangxi Zhuang Autonomous Region, this study aims to optimize the site selection for emergency supplies storage facilities. Traditional methods for predicting emergency supplies demand rely heavily on expert judgment, lacking sophisticated forecasting methodologies, which further complicates research due to the inherent unpredictability of natural disasters. This paper adopts a multi-objective programming approach, leveraging historical data and the proposed emergency supplies demand model to systematically address the spatial layout planning problem of emergency material reserve nodes. After comprehensively considering various factors, including risk, economic, and time-related aspects, a 0-1 integer programming model was established, aiming to fulfill all regional requirements for essential resources within minimal rescue timeframes while minimizing overall costs. Through the application of the AHP-Entropy weight method, data standardization and indicator weighting were conducted, resulting in a hierarchical site selection framework that ensures timely emergency response across the region without incurring prohibitive costs. This study represents a significant contribution to the literature by focusing on the unique challenges and requirements of Guangxi and proposing a tailored approach to optimizing the site selection and layout of emergency supplies storage facilities, thereby enhancing disaster preparedness and response strategies effectively</dc:description><edm:type>TEXT</edm:type><dc:type xml:lang="sl">znanstveno časopisje</dc:type><dc:type xml:lang="en">journals</dc:type><dc:type rdf:resource="http://www.wikidata.org/entity/Q361785" /></edm:ProvidedCHO><ore:Aggregation rdf:about="http://www.dlib.si/?URN=URN:NBN:SI:DOC-6P7QJZ36"><edm:aggregatedCHO rdf:resource="URN:NBN:SI:DOC-6P7QJZ36" /><edm:isShownBy rdf:resource="http://www.dlib.si/stream/URN:NBN:SI:DOC-6P7QJZ36/1055c9e3-6c18-43e4-ad31-f30a7189e165/PDF" /><edm:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/" /><edm:provider>Slovenian National E-content Aggregator</edm:provider><edm:intermediateProvider xml:lang="en">National and University Library of Slovenia</edm:intermediateProvider><edm:dataProvider xml:lang="sl">Univerza v Mariboru, Fakulteta za strojništvo</edm:dataProvider><edm:object rdf:resource="http://www.dlib.si/streamdb/URN:NBN:SI:DOC-6P7QJZ36/maxi/edm" /><edm:isShownAt rdf:resource="http://www.dlib.si/details/URN:NBN:SI:DOC-6P7QJZ36" /></ore:Aggregation></rdf:RDF>