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...

Full description

Saved in:
Bibliographic Details
Published in:Journal of humanitarian logistics and supply chain management 2021-05, Vol.11 (2), p.227-247
Main Authors: Breitbarth, Eric, Groβ, Wendelin, Zienau, Alexander
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