A constructive aisle design model for unit-load warehouses with multiple pickup and deposit points

dc.contributor.author Kevin R. Gue
dc.contributor.author Russell D. Meller
dc.contributor.author Meller, R. D.
dc.contributor.author Ozturkoglu, O.
dc.contributor.author Gue, K. R.
dc.date.accessioned 2025-10-06T17:52:33Z
dc.date.issued 2014
dc.description.abstract We develop a network-based warehouse model of individual pallet locations and their interactions with appropriate cross aisles in order to evaluate the expected travel distance of a given design. The model is constructive in that it uses Particle Swarm Optimization to determine the best angles of cross aisles and picking aisles for multiple pre-determined pickup and deposit (P&D) points in a unit-load warehouse. Our results suggest that alternative designs offer reduced expected travel distance but at the expense of increased storage space. The opportunity for benefit also seems to decline as P&D points increase in number and dispersion. © 2013 Elsevier B.V. All rights reserved. © 2014 Elsevier B.V. All rights reserved.
dc.description.sponsorship National Science Foundation [DMI-0600374, DMI-0600671]
dc.description.sponsorship This research was supported in part by the National Science Foundation under Grants DMI-0600374 and DMI-0600671. The authors thank Alice Smith of Auburn University for her valuable advice on the use of adaptive optimization techniques.
dc.description.sponsorship National Science Foundation, NSF, (DMI-0600374, DMI-0600671)
dc.identifier.doi 10.1016/j.ejor.2013.12.023
dc.identifier.issn 03772217
dc.identifier.issn 0377-2217
dc.identifier.issn 1872-6860
dc.identifier.scopus 2-s2.0-84900597002
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-84900597002&doi=10.1016%2Fj.ejor.2013.12.023&partnerID=40&md5=a085f1f1fb7e3a67f54c147bdc66eff9
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9986
dc.identifier.uri https://doi.org/10.1016/j.ejor.2013.12.023
dc.language.iso English
dc.publisher Elsevier
dc.relation.ispartof European Journal of Operational Research
dc.rights info:eu-repo/semantics/closedAccess
dc.source European Journal of Operational Research
dc.subject Aisle Design, Facilities Planning And Design, Layout, Randomized Storage, Single-command Operation, Warehouse Design, Aisle Design, Facilities Planning And Design, Layout, Single-command Operation, Warehouse Design, Deposits, Design, Particle Swarm Optimization (pso), Pickups, Warehouses
dc.subject Aisle design, Facilities planning and design, Layout, Single-command operation, Warehouse design, Deposits, Design, Particle swarm optimization (PSO), Pickups, Warehouses
dc.subject Layout
dc.subject Randomized Storage
dc.subject Single-Command Operation
dc.subject Warehouse Design
dc.subject Aisle Design
dc.subject Facilities Planning and Design
dc.title A constructive aisle design model for unit-load warehouses with multiple pickup and deposit points
dc.type Article
dspace.entity.type Publication
gdc.author.id OZTURKOGLU, OMER/0000-0003-3937-6657
gdc.author.scopusid 6602427511
gdc.author.scopusid 7006616451
gdc.author.wosid OZTURKOGLU, OMER/B-8480-2019
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gdc.description.department
gdc.description.departmenttemp [Ozturkoglu, O.] Yasar Univ, Dept Ind Engn, TR-35100 Izmir, Turkey; [Gue, K. R.] Auburn Univ, Dept Ind & Syst Engn, Auburn, AL 36849 USA; [Meller, R. D.] Univ Arkansas, Dept Ind Engn, Fayetteville, AR 72701 USA
gdc.description.endpage 394
gdc.description.issue 1
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 382
gdc.description.volume 236
gdc.description.woscitationindex Science Citation Index Expanded
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gdc.oaire.keywords layout
gdc.oaire.keywords Discrete location and assignment
gdc.oaire.keywords aisle design
gdc.oaire.keywords facilities planning and design
gdc.oaire.keywords warehouse design
gdc.oaire.keywords randomized storage
gdc.oaire.keywords single-command operation
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gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 55
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gdc.scopus.citedcount 60
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oaire.citation.endPage 394
oaire.citation.startPage 382
person.identifier.scopus-author-id Gue- Kevin R. (6602427511), Meller- Russell D. (7006616451)
project.funder.name This research was supported in part by the National Science Foundation under Grants DMI-0600374 and DMI-0600671 . The authors thank Alice Smith of Auburn University for her valuable advice on the use of adaptive optimization techniques.
publicationissue.issueNumber 1
publicationvolume.volumeNumber 236
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