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Multiperiod Model for Disaster Management in Simultaneous Disasters
Relief activities are complicated when multiple disasters take place simultaneously at different locations. Designing effective relief networks for these instances involves managing the priorities among regions and products, developing the capacity to share limited resources and facilities, and enga...
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Published in: | IEEE transactions on engineering management 2024, Vol.71, p.4971-4984 |
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container_title | IEEE transactions on engineering management |
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creator | Rodriguez-Espindola, Oscar |
description | Relief activities are complicated when multiple disasters take place simultaneously at different locations. Designing effective relief networks for these instances involves managing the priorities among regions and products, developing the capacity to share limited resources and facilities, and engaging with multiple suppliers over several periods. Unfortunately, even after recent experiences in different countries, the management of simultaneous disasters is still understudied. This article introduces a two-stage dynamic formulation for logistics decisions in instances caused by simultaneous disasters. It guides supplier selection, facility location, stock prepositioning, and resource allocation at the first stage, whereas relief distribution, postdisaster procurement, and inventory management are addressed at the second stage. The model minimizes cost and the maximum shortage. Results of numerical experiments show the way the model considers the characteristics of each situation to dispatch limited shared resources. The experiments show that planning for single disasters has a negative impact on performance when faced with situations caused by simultaneous disasters. That is confirmed by findings from the case study in Mexico, which also highlights the preference for prepositioning stock using a mix of different kind of suppliers, and the importance of developing a reliable network of facilities and suppliers to handle simultaneous disasters effectively. |
doi_str_mv | 10.1109/TEM.2022.3227329 |
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Designing effective relief networks for these instances involves managing the priorities among regions and products, developing the capacity to share limited resources and facilities, and engaging with multiple suppliers over several periods. Unfortunately, even after recent experiences in different countries, the management of simultaneous disasters is still understudied. This article introduces a two-stage dynamic formulation for logistics decisions in instances caused by simultaneous disasters. It guides supplier selection, facility location, stock prepositioning, and resource allocation at the first stage, whereas relief distribution, postdisaster procurement, and inventory management are addressed at the second stage. The model minimizes cost and the maximum shortage. Results of numerical experiments show the way the model considers the characteristics of each situation to dispatch limited shared resources. The experiments show that planning for single disasters has a negative impact on performance when faced with situations caused by simultaneous disasters. 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Designing effective relief networks for these instances involves managing the priorities among regions and products, developing the capacity to share limited resources and facilities, and engaging with multiple suppliers over several periods. Unfortunately, even after recent experiences in different countries, the management of simultaneous disasters is still understudied. This article introduces a two-stage dynamic formulation for logistics decisions in instances caused by simultaneous disasters. It guides supplier selection, facility location, stock prepositioning, and resource allocation at the first stage, whereas relief distribution, postdisaster procurement, and inventory management are addressed at the second stage. The model minimizes cost and the maximum shortage. Results of numerical experiments show the way the model considers the characteristics of each situation to dispatch limited shared resources. The experiments show that planning for single disasters has a negative impact on performance when faced with situations caused by simultaneous disasters. That is confirmed by findings from the case study in Mexico, which also highlights the preference for prepositioning stock using a mix of different kind of suppliers, and the importance of developing a reliable network of facilities and suppliers to handle simultaneous disasters effectively.</description><subject>Component and supplier management</subject><subject>Costs</subject><subject>Disaster management</subject><subject>Disaster relief</subject><subject>Hazards</subject><subject>Humanitarian logistics</subject><subject>Inventory management</subject><subject>Logistics</subject><subject>multiobjective programming</subject><subject>Procurement</subject><subject>Procurement management</subject><subject>Purchasing</subject><subject>Resource allocation</subject><subject>Resource management</subject><subject>simultaneous disasters</subject><subject>Suppliers</subject><subject>Uncertainty</subject><issn>0018-9391</issn><issn>1558-0040</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNo9kM9Lw0AQhRdRsFbvgpeA59TZX8nOUWqrQoMH63nZNrOypU3qbnLwvze1pafhwffewMfYPYcJ54BPy1k1ESDERApRSoEXbMS1NjmAgks2AuAmR4n8mt2ktBmi0gJGbFr12y7sKYa2zqq2pm3m25i9hORSRzGrXOO-aUdNl4Um-wy7AXcNtX06M-mWXXm3TXR3umP2NZ8tp2_54uP1ffq8yNdSyi5XpuAKNefSENdcrmog70VRKv-fsUYixNJT6WTtV4DaK1F6uSq0EU7KMXs87u5j-9NT6uym7WMzvLQCRSEKo0APFBypdWxTiuTtPoadi7-Wgz2osoMqe1BlT6qGysOxEojojCNiwQ3IP_jYY9k</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Rodriguez-Espindola, Oscar</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-4889-1565</orcidid></search><sort><creationdate>2024</creationdate><title>Multiperiod Model for Disaster Management in Simultaneous Disasters</title><author>Rodriguez-Espindola, Oscar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-48614951138e1513bd0eff2674fe15139d9ee997fe7a3dfb095f427f3b6582a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Component and supplier management</topic><topic>Costs</topic><topic>Disaster management</topic><topic>Disaster relief</topic><topic>Hazards</topic><topic>Humanitarian logistics</topic><topic>Inventory management</topic><topic>Logistics</topic><topic>multiobjective programming</topic><topic>Procurement</topic><topic>Procurement management</topic><topic>Purchasing</topic><topic>Resource allocation</topic><topic>Resource management</topic><topic>simultaneous disasters</topic><topic>Suppliers</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rodriguez-Espindola, Oscar</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on engineering management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rodriguez-Espindola, Oscar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiperiod Model for Disaster Management in Simultaneous Disasters</atitle><jtitle>IEEE transactions on engineering management</jtitle><stitle>TEM</stitle><date>2024</date><risdate>2024</risdate><volume>71</volume><spage>4971</spage><epage>4984</epage><pages>4971-4984</pages><issn>0018-9391</issn><eissn>1558-0040</eissn><coden>IEEMA4</coden><abstract>Relief activities are complicated when multiple disasters take place simultaneously at different locations. Designing effective relief networks for these instances involves managing the priorities among regions and products, developing the capacity to share limited resources and facilities, and engaging with multiple suppliers over several periods. Unfortunately, even after recent experiences in different countries, the management of simultaneous disasters is still understudied. This article introduces a two-stage dynamic formulation for logistics decisions in instances caused by simultaneous disasters. It guides supplier selection, facility location, stock prepositioning, and resource allocation at the first stage, whereas relief distribution, postdisaster procurement, and inventory management are addressed at the second stage. The model minimizes cost and the maximum shortage. Results of numerical experiments show the way the model considers the characteristics of each situation to dispatch limited shared resources. The experiments show that planning for single disasters has a negative impact on performance when faced with situations caused by simultaneous disasters. That is confirmed by findings from the case study in Mexico, which also highlights the preference for prepositioning stock using a mix of different kind of suppliers, and the importance of developing a reliable network of facilities and suppliers to handle simultaneous disasters effectively.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TEM.2022.3227329</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-4889-1565</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Component and supplier management Costs Disaster management Disaster relief Hazards Humanitarian logistics Inventory management Logistics multiobjective programming Procurement Procurement management Purchasing Resource allocation Resource management simultaneous disasters Suppliers Uncertainty |
title | Multiperiod Model for Disaster Management in Simultaneous Disasters |
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