Research on Optimizing the Location and Layout of National Emergency Material Reserve
Scientific planning, and the layout of the national level reserve base of emergency materials, will help improve the effectiveness of a country’s overall emergency disaster reduction system. Based on the P-center location theory, this paper analyzes the factors affecting site selection at the nation...
Gespeichert in:
Veröffentlicht in: | Sustainability 2022-12, Vol.14 (23), p.15922 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 23 |
container_start_page | 15922 |
container_title | Sustainability |
container_volume | 14 |
creator | Wu, Zhuang Liu, Chenjun Yao, Zhiying Zhang, Yi |
description | Scientific planning, and the layout of the national level reserve base of emergency materials, will help improve the effectiveness of a country’s overall emergency disaster reduction system. Based on the P-center location theory, this paper analyzes the factors affecting site selection at the national and state levels, determines the reasonable number of emergency material reserve bases at national and state levels, and then develops a national macro-level emergency supply reserve location planning model. In this study, the city of 28 states in a country were selected as alternative reserve cities and emergency demand city matrix, to conduct the research. The model is solved using a variable neighborhood search algorithm (VNS). The calculation results obtain the reasonable number of emergency material reserve bases set at the national level in this studied country, and the optimal solution of the base layout can be obtained if the number of emergency reserve bases set at the national level remains unchanged. The experimental results shows that the selected algorithm is reasonable. |
doi_str_mv | 10.3390/su142315922 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_2748568674</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A747188893</galeid><sourcerecordid>A747188893</sourcerecordid><originalsourceid>FETCH-LOGICAL-c371t-199ddcb2c9bde1fa1b1a62df2fd4ee6fe48fce8bb4d3feaa1f2d37c85c5de8073</originalsourceid><addsrcrecordid>eNpVkU9LAzEQxRdRsNSe_AIBTyKtm2T_ZI-lVC2sFqo9L9lksk1pNzXJivXTm1oP7cxhhsdvHgMvim5xPKK0iB9dhxNCcVoQchH1SJzjIY7T-PJkv44Gzq3jUJTiAme9aLkAB9yKFTItmu-83uof3TbIrwCVRnCvg85biUq-N51HRqG3P5Fv0HQLtoFW7NEr92B1kA5u9gtuoivFNw4G_7MfLZ-mH5OXYTl_nk3G5VDQHPshLgopRU1EUUvAiuMa84xIRZRMADIFCVMCWF0nkirgHCsiaS5YKlIJLM5pP7o7-u6s-ezA-WptOht-cxXJE5ZmLMuTQI2OVMM3UOlWGW-5CC1hq4VpQemgj_Mkx4yxgoaD-7ODwHj49g3vnKtm74tz9uHICmucs6CqndVbbvcVjqtDLtVJLvQX8zeAPg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2748568674</pqid></control><display><type>article</type><title>Research on Optimizing the Location and Layout of National Emergency Material Reserve</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Wu, Zhuang ; Liu, Chenjun ; Yao, Zhiying ; Zhang, Yi</creator><creatorcontrib>Wu, Zhuang ; Liu, Chenjun ; Yao, Zhiying ; Zhang, Yi</creatorcontrib><description>Scientific planning, and the layout of the national level reserve base of emergency materials, will help improve the effectiveness of a country’s overall emergency disaster reduction system. Based on the P-center location theory, this paper analyzes the factors affecting site selection at the national and state levels, determines the reasonable number of emergency material reserve bases at national and state levels, and then develops a national macro-level emergency supply reserve location planning model. In this study, the city of 28 states in a country were selected as alternative reserve cities and emergency demand city matrix, to conduct the research. The model is solved using a variable neighborhood search algorithm (VNS). The calculation results obtain the reasonable number of emergency material reserve bases set at the national level in this studied country, and the optimal solution of the base layout can be obtained if the number of emergency reserve bases set at the national level remains unchanged. The experimental results shows that the selected algorithm is reasonable.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su142315922</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Algorithms ; Decision making ; Disaster relief ; Disasters ; Economic development ; Emergencies ; Emergency management ; Emergency preparedness ; Layouts ; Location theory ; Management decisions ; Materials management ; Mathematical optimization ; Methods ; Optimization ; Public health ; Regions ; Search algorithms ; Site selection ; Sustainability ; Sustainable development</subject><ispartof>Sustainability, 2022-12, Vol.14 (23), p.15922</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c371t-199ddcb2c9bde1fa1b1a62df2fd4ee6fe48fce8bb4d3feaa1f2d37c85c5de8073</citedby><cites>FETCH-LOGICAL-c371t-199ddcb2c9bde1fa1b1a62df2fd4ee6fe48fce8bb4d3feaa1f2d37c85c5de8073</cites><orcidid>0000-0001-5959-7444 ; 0000-0001-5780-7479 ; 0000-0002-0165-903X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27911,27912</link.rule.ids></links><search><creatorcontrib>Wu, Zhuang</creatorcontrib><creatorcontrib>Liu, Chenjun</creatorcontrib><creatorcontrib>Yao, Zhiying</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><title>Research on Optimizing the Location and Layout of National Emergency Material Reserve</title><title>Sustainability</title><description>Scientific planning, and the layout of the national level reserve base of emergency materials, will help improve the effectiveness of a country’s overall emergency disaster reduction system. Based on the P-center location theory, this paper analyzes the factors affecting site selection at the national and state levels, determines the reasonable number of emergency material reserve bases at national and state levels, and then develops a national macro-level emergency supply reserve location planning model. In this study, the city of 28 states in a country were selected as alternative reserve cities and emergency demand city matrix, to conduct the research. The model is solved using a variable neighborhood search algorithm (VNS). The calculation results obtain the reasonable number of emergency material reserve bases set at the national level in this studied country, and the optimal solution of the base layout can be obtained if the number of emergency reserve bases set at the national level remains unchanged. The experimental results shows that the selected algorithm is reasonable.</description><subject>Algorithms</subject><subject>Decision making</subject><subject>Disaster relief</subject><subject>Disasters</subject><subject>Economic development</subject><subject>Emergencies</subject><subject>Emergency management</subject><subject>Emergency preparedness</subject><subject>Layouts</subject><subject>Location theory</subject><subject>Management decisions</subject><subject>Materials management</subject><subject>Mathematical optimization</subject><subject>Methods</subject><subject>Optimization</subject><subject>Public health</subject><subject>Regions</subject><subject>Search algorithms</subject><subject>Site selection</subject><subject>Sustainability</subject><subject>Sustainable development</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkU9LAzEQxRdRsNSe_AIBTyKtm2T_ZI-lVC2sFqo9L9lksk1pNzXJivXTm1oP7cxhhsdvHgMvim5xPKK0iB9dhxNCcVoQchH1SJzjIY7T-PJkv44Gzq3jUJTiAme9aLkAB9yKFTItmu-83uof3TbIrwCVRnCvg85biUq-N51HRqG3P5Fv0HQLtoFW7NEr92B1kA5u9gtuoivFNw4G_7MfLZ-mH5OXYTl_nk3G5VDQHPshLgopRU1EUUvAiuMa84xIRZRMADIFCVMCWF0nkirgHCsiaS5YKlIJLM5pP7o7-u6s-ezA-WptOht-cxXJE5ZmLMuTQI2OVMM3UOlWGW-5CC1hq4VpQemgj_Mkx4yxgoaD-7ODwHj49g3vnKtm74tz9uHICmucs6CqndVbbvcVjqtDLtVJLvQX8zeAPg</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Wu, Zhuang</creator><creator>Liu, Chenjun</creator><creator>Yao, Zhiying</creator><creator>Zhang, Yi</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-5959-7444</orcidid><orcidid>https://orcid.org/0000-0001-5780-7479</orcidid><orcidid>https://orcid.org/0000-0002-0165-903X</orcidid></search><sort><creationdate>20221201</creationdate><title>Research on Optimizing the Location and Layout of National Emergency Material Reserve</title><author>Wu, Zhuang ; Liu, Chenjun ; Yao, Zhiying ; Zhang, Yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-199ddcb2c9bde1fa1b1a62df2fd4ee6fe48fce8bb4d3feaa1f2d37c85c5de8073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Decision making</topic><topic>Disaster relief</topic><topic>Disasters</topic><topic>Economic development</topic><topic>Emergencies</topic><topic>Emergency management</topic><topic>Emergency preparedness</topic><topic>Layouts</topic><topic>Location theory</topic><topic>Management decisions</topic><topic>Materials management</topic><topic>Mathematical optimization</topic><topic>Methods</topic><topic>Optimization</topic><topic>Public health</topic><topic>Regions</topic><topic>Search algorithms</topic><topic>Site selection</topic><topic>Sustainability</topic><topic>Sustainable development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wu, Zhuang</creatorcontrib><creatorcontrib>Liu, Chenjun</creatorcontrib><creatorcontrib>Yao, Zhiying</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wu, Zhuang</au><au>Liu, Chenjun</au><au>Yao, Zhiying</au><au>Zhang, Yi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Research on Optimizing the Location and Layout of National Emergency Material Reserve</atitle><jtitle>Sustainability</jtitle><date>2022-12-01</date><risdate>2022</risdate><volume>14</volume><issue>23</issue><spage>15922</spage><pages>15922-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Scientific planning, and the layout of the national level reserve base of emergency materials, will help improve the effectiveness of a country’s overall emergency disaster reduction system. Based on the P-center location theory, this paper analyzes the factors affecting site selection at the national and state levels, determines the reasonable number of emergency material reserve bases at national and state levels, and then develops a national macro-level emergency supply reserve location planning model. In this study, the city of 28 states in a country were selected as alternative reserve cities and emergency demand city matrix, to conduct the research. The model is solved using a variable neighborhood search algorithm (VNS). The calculation results obtain the reasonable number of emergency material reserve bases set at the national level in this studied country, and the optimal solution of the base layout can be obtained if the number of emergency reserve bases set at the national level remains unchanged. The experimental results shows that the selected algorithm is reasonable.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su142315922</doi><orcidid>https://orcid.org/0000-0001-5959-7444</orcidid><orcidid>https://orcid.org/0000-0001-5780-7479</orcidid><orcidid>https://orcid.org/0000-0002-0165-903X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2071-1050 |
ispartof | Sustainability, 2022-12, Vol.14 (23), p.15922 |
issn | 2071-1050 2071-1050 |
language | eng |
recordid | cdi_proquest_journals_2748568674 |
source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
subjects | Algorithms Decision making Disaster relief Disasters Economic development Emergencies Emergency management Emergency preparedness Layouts Location theory Management decisions Materials management Mathematical optimization Methods Optimization Public health Regions Search algorithms Site selection Sustainability Sustainable development |
title | Research on Optimizing the Location and Layout of National Emergency Material Reserve |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T00%3A28%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Research%20on%20Optimizing%20the%20Location%20and%20Layout%20of%20National%20Emergency%20Material%20Reserve&rft.jtitle=Sustainability&rft.au=Wu,%20Zhuang&rft.date=2022-12-01&rft.volume=14&rft.issue=23&rft.spage=15922&rft.pages=15922-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su142315922&rft_dat=%3Cgale_proqu%3EA747188893%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2748568674&rft_id=info:pmid/&rft_galeid=A747188893&rfr_iscdi=true |