An Efficient Greedy Heuristic for Warehouse-Retailer Network Design Optimization

In this paper, we study a warehouse-retailer network design (WRND) model that simultaneously makes the location, distribution, and warehouse-retailer echelon inventory replenishment decisions. Although a column generation algorithm was proposed recently in the literature, it remains a challenge to s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Transportation science 2010-05, Vol.44 (2), p.183-192
1. Verfasser: Shu, Jia
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 192
container_issue 2
container_start_page 183
container_title Transportation science
container_volume 44
creator Shu, Jia
description In this paper, we study a warehouse-retailer network design (WRND) model that simultaneously makes the location, distribution, and warehouse-retailer echelon inventory replenishment decisions. Although a column generation algorithm was proposed recently in the literature, it remains a challenge to solve large size instances of this NP-hard problem efficiently and effectively. The purpose of this paper is to present a greedy algorithm. Computational results demonstrate that our greedy algorithm can solve large-scale WRND problems efficiently with errors within 3%-4% on average.
doi_str_mv 10.1287/trsc.1090.0302
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_gale_infotracmisc_A228076773</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A228076773</galeid><jstor_id>25769490</jstor_id><sourcerecordid>A228076773</sourcerecordid><originalsourceid>FETCH-LOGICAL-c561t-50f91842ab527d4ef7366d930b7835e30c2745d62361199189ed0d4311d9733c3</originalsourceid><addsrcrecordid>eNqFks1rFDEYxoMouK5evQmDIl6cNd-ZOS61tkKxIorHkM28s806k2yTDFL_ejNusSoLEkgO-T3vx8OD0FOCV4Q26k2Oya4IbvEKM0zvoQURVNaCc3UfLTDmpCZSiIfoUUo7jIlQRCzQx7WvTvveWQc-V2cRoLupzmGKLmVnqz7E6quJcBWmBPUnyMYNEKsPkL-H-K16C8ltfXW5z250P0x2wT9GD3ozJHhy-y7Rl3enn0_O64vLs_cn64vaCklyLXDfkoZTsxFUdRx6xaTsWoY3qmECGLZUcdFJyiQhbUFb6HDHGSFdqxizbIleHeruY7ieIGU9umRhGIyHMqxuyq6UN40o5PN_yF2Yoi_DacaVKN7JGXpxgLZmAO18H3I0di6p15Q2WElV2i5RfYTagodohuChL-78za-O8OV0MDp7VPD6D8FmSs5DKlex-SqnrZlSOlrfxpBShF7voxtNvNEE6zkUeg6FnkOh51AUwctbL0yyZuij8dal3ypKVavEL8-eHbhdyiHe_QslW97iOyPmneKY_tf3J_HXy8U</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>347512865</pqid></control><display><type>article</type><title>An Efficient Greedy Heuristic for Warehouse-Retailer Network Design Optimization</title><source>INFORMS PubsOnLine</source><source>EBSCO Business Source Complete</source><source>Jstor Complete Legacy</source><creator>Shu, Jia</creator><creatorcontrib>Shu, Jia</creatorcontrib><description>In this paper, we study a warehouse-retailer network design (WRND) model that simultaneously makes the location, distribution, and warehouse-retailer echelon inventory replenishment decisions. Although a column generation algorithm was proposed recently in the literature, it remains a challenge to solve large size instances of this NP-hard problem efficiently and effectively. The purpose of this paper is to present a greedy algorithm. Computational results demonstrate that our greedy algorithm can solve large-scale WRND problems efficiently with errors within 3%-4% on average.</description><identifier>ISSN: 0041-1655</identifier><identifier>EISSN: 1526-5447</identifier><identifier>DOI: 10.1287/trsc.1090.0302</identifier><identifier>CODEN: TRSCBJ</identifier><language>eng</language><publisher>Linthicum, MD: INFORMS</publisher><subject>Algorithms ; Applied sciences ; Carrying costs ; Design efficiency ; Design optimization ; Distribution ; distribution network design ; Evaluation ; Exact sciences and technology ; facility location ; Geography ; greedy algorithm ; Greedy algorithms ; Ground, air and sea transportation, marine construction ; Heuristics ; International business enterprises ; Inventories ; Inventory control ; Inventory management ; Logistics ; multiechelon inventory management ; Retail stores ; Retail trade ; Studies ; Supply chain management ; Technology application ; Transportation ; Transportation costs ; Transportation planning, management and economics ; Warehouses ; Warehousing</subject><ispartof>Transportation science, 2010-05, Vol.44 (2), p.183-192</ispartof><rights>Copyright © 2010 Institute for Operations Research and the Management Sciences</rights><rights>2015 INIST-CNRS</rights><rights>COPYRIGHT 2010 Institute for Operations Research and the Management Sciences</rights><rights>Copyright Institute for Operations Research and the Management Sciences May 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c561t-50f91842ab527d4ef7366d930b7835e30c2745d62361199189ed0d4311d9733c3</citedby><cites>FETCH-LOGICAL-c561t-50f91842ab527d4ef7366d930b7835e30c2745d62361199189ed0d4311d9733c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/25769490$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://pubsonline.informs.org/doi/full/10.1287/trsc.1090.0302$$EHTML$$P50$$Ginforms$$H</linktohtml><link.rule.ids>314,776,780,799,3678,27903,27904,57996,58229,62593</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=22797585$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Shu, Jia</creatorcontrib><title>An Efficient Greedy Heuristic for Warehouse-Retailer Network Design Optimization</title><title>Transportation science</title><description>In this paper, we study a warehouse-retailer network design (WRND) model that simultaneously makes the location, distribution, and warehouse-retailer echelon inventory replenishment decisions. Although a column generation algorithm was proposed recently in the literature, it remains a challenge to solve large size instances of this NP-hard problem efficiently and effectively. The purpose of this paper is to present a greedy algorithm. Computational results demonstrate that our greedy algorithm can solve large-scale WRND problems efficiently with errors within 3%-4% on average.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Carrying costs</subject><subject>Design efficiency</subject><subject>Design optimization</subject><subject>Distribution</subject><subject>distribution network design</subject><subject>Evaluation</subject><subject>Exact sciences and technology</subject><subject>facility location</subject><subject>Geography</subject><subject>greedy algorithm</subject><subject>Greedy algorithms</subject><subject>Ground, air and sea transportation, marine construction</subject><subject>Heuristics</subject><subject>International business enterprises</subject><subject>Inventories</subject><subject>Inventory control</subject><subject>Inventory management</subject><subject>Logistics</subject><subject>multiechelon inventory management</subject><subject>Retail stores</subject><subject>Retail trade</subject><subject>Studies</subject><subject>Supply chain management</subject><subject>Technology application</subject><subject>Transportation</subject><subject>Transportation costs</subject><subject>Transportation planning, management and economics</subject><subject>Warehouses</subject><subject>Warehousing</subject><issn>0041-1655</issn><issn>1526-5447</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><recordid>eNqFks1rFDEYxoMouK5evQmDIl6cNd-ZOS61tkKxIorHkM28s806k2yTDFL_ejNusSoLEkgO-T3vx8OD0FOCV4Q26k2Oya4IbvEKM0zvoQURVNaCc3UfLTDmpCZSiIfoUUo7jIlQRCzQx7WvTvveWQc-V2cRoLupzmGKLmVnqz7E6quJcBWmBPUnyMYNEKsPkL-H-K16C8ltfXW5z250P0x2wT9GD3ozJHhy-y7Rl3enn0_O64vLs_cn64vaCklyLXDfkoZTsxFUdRx6xaTsWoY3qmECGLZUcdFJyiQhbUFb6HDHGSFdqxizbIleHeruY7ieIGU9umRhGIyHMqxuyq6UN40o5PN_yF2Yoi_DacaVKN7JGXpxgLZmAO18H3I0di6p15Q2WElV2i5RfYTagodohuChL-78za-O8OV0MDp7VPD6D8FmSs5DKlex-SqnrZlSOlrfxpBShF7voxtNvNEE6zkUeg6FnkOh51AUwctbL0yyZuij8dal3ypKVavEL8-eHbhdyiHe_QslW97iOyPmneKY_tf3J_HXy8U</recordid><startdate>20100501</startdate><enddate>20100501</enddate><creator>Shu, Jia</creator><general>INFORMS</general><general>Transportation Science &amp; Logistic Society of the Institute for Operations Research and Management Sciences</general><general>Institute for Operations Research and the Management Sciences</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>20100501</creationdate><title>An Efficient Greedy Heuristic for Warehouse-Retailer Network Design Optimization</title><author>Shu, Jia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c561t-50f91842ab527d4ef7366d930b7835e30c2745d62361199189ed0d4311d9733c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Carrying costs</topic><topic>Design efficiency</topic><topic>Design optimization</topic><topic>Distribution</topic><topic>distribution network design</topic><topic>Evaluation</topic><topic>Exact sciences and technology</topic><topic>facility location</topic><topic>Geography</topic><topic>greedy algorithm</topic><topic>Greedy algorithms</topic><topic>Ground, air and sea transportation, marine construction</topic><topic>Heuristics</topic><topic>International business enterprises</topic><topic>Inventories</topic><topic>Inventory control</topic><topic>Inventory management</topic><topic>Logistics</topic><topic>multiechelon inventory management</topic><topic>Retail stores</topic><topic>Retail trade</topic><topic>Studies</topic><topic>Supply chain management</topic><topic>Technology application</topic><topic>Transportation</topic><topic>Transportation costs</topic><topic>Transportation planning, management and economics</topic><topic>Warehouses</topic><topic>Warehousing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shu, Jia</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Gale Business: Insights</collection><collection>Business Insights: Essentials</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><jtitle>Transportation science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shu, Jia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Efficient Greedy Heuristic for Warehouse-Retailer Network Design Optimization</atitle><jtitle>Transportation science</jtitle><date>2010-05-01</date><risdate>2010</risdate><volume>44</volume><issue>2</issue><spage>183</spage><epage>192</epage><pages>183-192</pages><issn>0041-1655</issn><eissn>1526-5447</eissn><coden>TRSCBJ</coden><abstract>In this paper, we study a warehouse-retailer network design (WRND) model that simultaneously makes the location, distribution, and warehouse-retailer echelon inventory replenishment decisions. Although a column generation algorithm was proposed recently in the literature, it remains a challenge to solve large size instances of this NP-hard problem efficiently and effectively. The purpose of this paper is to present a greedy algorithm. Computational results demonstrate that our greedy algorithm can solve large-scale WRND problems efficiently with errors within 3%-4% on average.</abstract><cop>Linthicum, MD</cop><pub>INFORMS</pub><doi>10.1287/trsc.1090.0302</doi><tpages>10</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0041-1655
ispartof Transportation science, 2010-05, Vol.44 (2), p.183-192
issn 0041-1655
1526-5447
language eng
recordid cdi_gale_infotracmisc_A228076773
source INFORMS PubsOnLine; EBSCO Business Source Complete; Jstor Complete Legacy
subjects Algorithms
Applied sciences
Carrying costs
Design efficiency
Design optimization
Distribution
distribution network design
Evaluation
Exact sciences and technology
facility location
Geography
greedy algorithm
Greedy algorithms
Ground, air and sea transportation, marine construction
Heuristics
International business enterprises
Inventories
Inventory control
Inventory management
Logistics
multiechelon inventory management
Retail stores
Retail trade
Studies
Supply chain management
Technology application
Transportation
Transportation costs
Transportation planning, management and economics
Warehouses
Warehousing
title An Efficient Greedy Heuristic for Warehouse-Retailer Network Design Optimization
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T22%3A58%3A09IST&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=An%20Efficient%20Greedy%20Heuristic%20for%20Warehouse-Retailer%20Network%20Design%20Optimization&rft.jtitle=Transportation%20science&rft.au=Shu,%20Jia&rft.date=2010-05-01&rft.volume=44&rft.issue=2&rft.spage=183&rft.epage=192&rft.pages=183-192&rft.issn=0041-1655&rft.eissn=1526-5447&rft.coden=TRSCBJ&rft_id=info:doi/10.1287/trsc.1090.0302&rft_dat=%3Cgale_proqu%3EA228076773%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=347512865&rft_id=info:pmid/&rft_galeid=A228076773&rft_jstor_id=25769490&rfr_iscdi=true