Loading…
Protecting vulnerable people during pandemics through home delivery of essential supplies: a distribution logistics model
PurposeThis paper studies a concept for protecting vulnerable population groups during pandemics using direct home deliveries of essential supplies, from a distribution logistics perspective. The purpose of this paper is to evaluate feasible and resource-efficient home delivery strategies, including...
Saved in:
Published in: | Journal of humanitarian logistics and supply chain management 2021-05, Vol.11 (2), p.227-247 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c386t-6c70a89539979f4eb65c1ba20d3c1350969b6fd86e30d4ce4c7d46aef6179eba3 |
---|---|
cites | cdi_FETCH-LOGICAL-c386t-6c70a89539979f4eb65c1ba20d3c1350969b6fd86e30d4ce4c7d46aef6179eba3 |
container_end_page | 247 |
container_issue | 2 |
container_start_page | 227 |
container_title | Journal of humanitarian logistics and supply chain management |
container_volume | 11 |
creator | Breitbarth, Eric Groβ, Wendelin Zienau, Alexander |
description | PurposeThis paper studies a concept for protecting vulnerable population groups during pandemics using direct home deliveries of essential supplies, from a distribution logistics perspective. The purpose of this paper is to evaluate feasible and resource-efficient home delivery strategies, including collaboration between retailers and logistics service providers based on a practical application.Design/methodology/approachA food home delivery concept in urban areas during pandemics is mathematically modeled. All seniors living in a district of Berlin, Germany, represent the vulnerable population supplied by a grocery distribution center. A capacitated vehicle routing problem (CVRP) is developed in combination with a k-means clustering algorithm. To manage this large-scale problem efficiently, mixed-integer programming (MIP) is used. The impact of collaboration and additional delivery scenarios is examined with a sensitivity analysis.FindingsRoughly 45 medically vulnerable persons can be served by one delivery vehicle in the baseline scenario. Operational measures allow a drastic decrease in required resources by reducing service quality. In this way, home delivery for the vulnerable population of Berlin can be achieved. This requires collaboration between grocery and parcel services and public authorities as well as overcoming accompanying challenges.Originality/valueDeveloping a home delivery concept for providing essential goods to urban vulnerable groups during pandemics creates a special value. Setting a large-scale CVRP with variable fleet size in combination with a clustering algorithm contributes to the originality. |
doi_str_mv | 10.1108/JHLSCM-07-2020-0062 |
format | article |
fullrecord | <record><control><sourceid>proquest_emera</sourceid><recordid>TN_cdi_proquest_journals_2526824979</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_e9814a8d00bc47c3a0e79a7c14c11f9c</doaj_id><sourcerecordid>2526824979</sourcerecordid><originalsourceid>FETCH-LOGICAL-c386t-6c70a89539979f4eb65c1ba20d3c1350969b6fd86e30d4ce4c7d46aef6179eba3</originalsourceid><addsrcrecordid>eNp1kUFr3DAQhU1poSHJL-hF0LPbkSxLVm9laZuEDQm0PQtZGu9qsS1XsgP77yPXIdBDdRmNZt7Tg68oPlD4RCk0n-9u9j939yXIkgGDEkCwN8UFA85KIev67eudy_fFdUonyKdhrJFwUZwfY5jRzn48kKelHzGatkcyYZhycUtcB5MZHQ7eJjIfY1gOR3IMQ55i758wnknoCKaE4-xNT9IyTb3H9IUY4nyao2-X2YeR9OGQ29VlCFl6VbzrTJ_w-qVeFr-_f_u1uyn3Dz9ud1_3pa0aMZfCSjCNqiulpOo4tqK2tDUMXGVpVYMSqhWdawRW4LhFbqXjwmAnqFTYmuqyuN18XTAnPUU_mHjWwXj99yHEgzYxx-pRo2ooN40DaC2XtjKAUhlpKbeUdspmr4-b1xTDnwXTrE9hiWOOr1nNRMN4Dpm3qm3LxpBSxO71Vwp6RaY3ZBqkXpHpFVlWsU2FQ4bQu_-I_uFcPQPOkZtS</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2526824979</pqid></control><display><type>article</type><title>Protecting vulnerable people during pandemics through home delivery of essential supplies: a distribution logistics model</title><source>ABI/INFORM Global</source><source>Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list)</source><creator>Breitbarth, Eric ; Groβ, Wendelin ; Zienau, Alexander</creator><creatorcontrib>Breitbarth, Eric ; Groβ, Wendelin ; Zienau, Alexander</creatorcontrib><description>PurposeThis paper studies a concept for protecting vulnerable population groups during pandemics using direct home deliveries of essential supplies, from a distribution logistics perspective. The purpose of this paper is to evaluate feasible and resource-efficient home delivery strategies, including collaboration between retailers and logistics service providers based on a practical application.Design/methodology/approachA food home delivery concept in urban areas during pandemics is mathematically modeled. All seniors living in a district of Berlin, Germany, represent the vulnerable population supplied by a grocery distribution center. A capacitated vehicle routing problem (CVRP) is developed in combination with a k-means clustering algorithm. To manage this large-scale problem efficiently, mixed-integer programming (MIP) is used. The impact of collaboration and additional delivery scenarios is examined with a sensitivity analysis.FindingsRoughly 45 medically vulnerable persons can be served by one delivery vehicle in the baseline scenario. Operational measures allow a drastic decrease in required resources by reducing service quality. In this way, home delivery for the vulnerable population of Berlin can be achieved. This requires collaboration between grocery and parcel services and public authorities as well as overcoming accompanying challenges.Originality/valueDeveloping a home delivery concept for providing essential goods to urban vulnerable groups during pandemics creates a special value. Setting a large-scale CVRP with variable fleet size in combination with a clustering algorithm contributes to the originality.</description><identifier>ISSN: 2042-6747</identifier><identifier>EISSN: 2042-6755</identifier><identifier>DOI: 10.1108/JHLSCM-07-2020-0062</identifier><language>eng</language><publisher>Bingley: Emerald Publishing Limited</publisher><subject>At risk populations ; Collaboration ; Coronaviruses ; Costs ; COVID-19 ; Crisis management ; Emergency logistics ; Essential supply ; Food ; Food distribution planning ; Food supply ; Grocery stores ; Humanitarianism ; Infections ; Logistics ; Pandemic ; Pandemics ; Population ; Social interaction ; Supermarkets ; Supply chains ; Urban areas ; Vehicle routing problem ; Vehicles</subject><ispartof>Journal of humanitarian logistics and supply chain management, 2021-05, Vol.11 (2), p.227-247</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c386t-6c70a89539979f4eb65c1ba20d3c1350969b6fd86e30d4ce4c7d46aef6179eba3</citedby><cites>FETCH-LOGICAL-c386t-6c70a89539979f4eb65c1ba20d3c1350969b6fd86e30d4ce4c7d46aef6179eba3</cites><orcidid>0000-0003-2925-9553</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2526824979/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2526824979?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,27924,27925,36060,44363,74767</link.rule.ids></links><search><creatorcontrib>Breitbarth, Eric</creatorcontrib><creatorcontrib>Groβ, Wendelin</creatorcontrib><creatorcontrib>Zienau, Alexander</creatorcontrib><title>Protecting vulnerable people during pandemics through home delivery of essential supplies: a distribution logistics model</title><title>Journal of humanitarian logistics and supply chain management</title><description>PurposeThis paper studies a concept for protecting vulnerable population groups during pandemics using direct home deliveries of essential supplies, from a distribution logistics perspective. The purpose of this paper is to evaluate feasible and resource-efficient home delivery strategies, including collaboration between retailers and logistics service providers based on a practical application.Design/methodology/approachA food home delivery concept in urban areas during pandemics is mathematically modeled. All seniors living in a district of Berlin, Germany, represent the vulnerable population supplied by a grocery distribution center. A capacitated vehicle routing problem (CVRP) is developed in combination with a k-means clustering algorithm. To manage this large-scale problem efficiently, mixed-integer programming (MIP) is used. The impact of collaboration and additional delivery scenarios is examined with a sensitivity analysis.FindingsRoughly 45 medically vulnerable persons can be served by one delivery vehicle in the baseline scenario. Operational measures allow a drastic decrease in required resources by reducing service quality. In this way, home delivery for the vulnerable population of Berlin can be achieved. This requires collaboration between grocery and parcel services and public authorities as well as overcoming accompanying challenges.Originality/valueDeveloping a home delivery concept for providing essential goods to urban vulnerable groups during pandemics creates a special value. Setting a large-scale CVRP with variable fleet size in combination with a clustering algorithm contributes to the originality.</description><subject>At risk populations</subject><subject>Collaboration</subject><subject>Coronaviruses</subject><subject>Costs</subject><subject>COVID-19</subject><subject>Crisis management</subject><subject>Emergency logistics</subject><subject>Essential supply</subject><subject>Food</subject><subject>Food distribution planning</subject><subject>Food supply</subject><subject>Grocery stores</subject><subject>Humanitarianism</subject><subject>Infections</subject><subject>Logistics</subject><subject>Pandemic</subject><subject>Pandemics</subject><subject>Population</subject><subject>Social interaction</subject><subject>Supermarkets</subject><subject>Supply chains</subject><subject>Urban areas</subject><subject>Vehicle routing problem</subject><subject>Vehicles</subject><issn>2042-6747</issn><issn>2042-6755</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><sourceid>DOA</sourceid><recordid>eNp1kUFr3DAQhU1poSHJL-hF0LPbkSxLVm9laZuEDQm0PQtZGu9qsS1XsgP77yPXIdBDdRmNZt7Tg68oPlD4RCk0n-9u9j939yXIkgGDEkCwN8UFA85KIev67eudy_fFdUonyKdhrJFwUZwfY5jRzn48kKelHzGatkcyYZhycUtcB5MZHQ7eJjIfY1gOR3IMQ55i758wnknoCKaE4-xNT9IyTb3H9IUY4nyao2-X2YeR9OGQ29VlCFl6VbzrTJ_w-qVeFr-_f_u1uyn3Dz9ud1_3pa0aMZfCSjCNqiulpOo4tqK2tDUMXGVpVYMSqhWdawRW4LhFbqXjwmAnqFTYmuqyuN18XTAnPUU_mHjWwXj99yHEgzYxx-pRo2ooN40DaC2XtjKAUhlpKbeUdspmr4-b1xTDnwXTrE9hiWOOr1nNRMN4Dpm3qm3LxpBSxO71Vwp6RaY3ZBqkXpHpFVlWsU2FQ4bQu_-I_uFcPQPOkZtS</recordid><startdate>20210504</startdate><enddate>20210504</enddate><creator>Breitbarth, Eric</creator><creator>Groβ, Wendelin</creator><creator>Zienau, Alexander</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><general>Emerald Publishing</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYYUZ</scope><scope>Q9U</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2925-9553</orcidid></search><sort><creationdate>20210504</creationdate><title>Protecting vulnerable people during pandemics through home delivery of essential supplies: a distribution logistics model</title><author>Breitbarth, Eric ; Groβ, Wendelin ; Zienau, Alexander</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c386t-6c70a89539979f4eb65c1ba20d3c1350969b6fd86e30d4ce4c7d46aef6179eba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>At risk populations</topic><topic>Collaboration</topic><topic>Coronaviruses</topic><topic>Costs</topic><topic>COVID-19</topic><topic>Crisis management</topic><topic>Emergency logistics</topic><topic>Essential supply</topic><topic>Food</topic><topic>Food distribution planning</topic><topic>Food supply</topic><topic>Grocery stores</topic><topic>Humanitarianism</topic><topic>Infections</topic><topic>Logistics</topic><topic>Pandemic</topic><topic>Pandemics</topic><topic>Population</topic><topic>Social interaction</topic><topic>Supermarkets</topic><topic>Supply chains</topic><topic>Urban areas</topic><topic>Vehicle routing problem</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Breitbarth, Eric</creatorcontrib><creatorcontrib>Groβ, Wendelin</creatorcontrib><creatorcontrib>Zienau, Alexander</creatorcontrib><collection>CrossRef</collection><collection>ProQuest_ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of humanitarian logistics and supply chain management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Breitbarth, Eric</au><au>Groβ, Wendelin</au><au>Zienau, Alexander</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Protecting vulnerable people during pandemics through home delivery of essential supplies: a distribution logistics model</atitle><jtitle>Journal of humanitarian logistics and supply chain management</jtitle><date>2021-05-04</date><risdate>2021</risdate><volume>11</volume><issue>2</issue><spage>227</spage><epage>247</epage><pages>227-247</pages><issn>2042-6747</issn><eissn>2042-6755</eissn><abstract>PurposeThis paper studies a concept for protecting vulnerable population groups during pandemics using direct home deliveries of essential supplies, from a distribution logistics perspective. The purpose of this paper is to evaluate feasible and resource-efficient home delivery strategies, including collaboration between retailers and logistics service providers based on a practical application.Design/methodology/approachA food home delivery concept in urban areas during pandemics is mathematically modeled. All seniors living in a district of Berlin, Germany, represent the vulnerable population supplied by a grocery distribution center. A capacitated vehicle routing problem (CVRP) is developed in combination with a k-means clustering algorithm. To manage this large-scale problem efficiently, mixed-integer programming (MIP) is used. The impact of collaboration and additional delivery scenarios is examined with a sensitivity analysis.FindingsRoughly 45 medically vulnerable persons can be served by one delivery vehicle in the baseline scenario. Operational measures allow a drastic decrease in required resources by reducing service quality. In this way, home delivery for the vulnerable population of Berlin can be achieved. This requires collaboration between grocery and parcel services and public authorities as well as overcoming accompanying challenges.Originality/valueDeveloping a home delivery concept for providing essential goods to urban vulnerable groups during pandemics creates a special value. Setting a large-scale CVRP with variable fleet size in combination with a clustering algorithm contributes to the originality.</abstract><cop>Bingley</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/JHLSCM-07-2020-0062</doi><tpages>21</tpages><orcidid>https://orcid.org/0000-0003-2925-9553</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2042-6747 |
ispartof | Journal of humanitarian logistics and supply chain management, 2021-05, Vol.11 (2), p.227-247 |
issn | 2042-6747 2042-6755 |
language | eng |
recordid | cdi_proquest_journals_2526824979 |
source | ABI/INFORM Global; Emerald:Jisc Collections:Emerald Subject Collections HE and FE 2024-2026:Emerald Premier (reading list) |
subjects | At risk populations Collaboration Coronaviruses Costs COVID-19 Crisis management Emergency logistics Essential supply Food Food distribution planning Food supply Grocery stores Humanitarianism Infections Logistics Pandemic Pandemics Population Social interaction Supermarkets Supply chains Urban areas Vehicle routing problem Vehicles |
title | Protecting vulnerable people during pandemics through home delivery of essential supplies: a distribution logistics model |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T01%3A12%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_emera&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Protecting%20vulnerable%20people%20during%20pandemics%20through%20home%20delivery%20of%20essential%20supplies:%20a%20distribution%20logistics%20model&rft.jtitle=Journal%20of%20humanitarian%20logistics%20and%20supply%20chain%20management&rft.au=Breitbarth,%20Eric&rft.date=2021-05-04&rft.volume=11&rft.issue=2&rft.spage=227&rft.epage=247&rft.pages=227-247&rft.issn=2042-6747&rft.eissn=2042-6755&rft_id=info:doi/10.1108/JHLSCM-07-2020-0062&rft_dat=%3Cproquest_emera%3E2526824979%3C/proquest_emera%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c386t-6c70a89539979f4eb65c1ba20d3c1350969b6fd86e30d4ce4c7d46aef6179eba3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2526824979&rft_id=info:pmid/&rfr_iscdi=true |