Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11104
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAghazadeh, D.-
dc.contributor.authorErtogra, K.-
dc.date.accessioned2024-03-09T15:12:44Z-
dc.date.available2024-03-09T15:12:44Z-
dc.date.issued2023-
dc.identifier.isbn9781713886952-
dc.identifier.issn2164-8689-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/11104-
dc.description50th International Conference on Computers and Industrial Engineering: Sustainable Digital Transformation, CIE 2023 -- 30 October 2023 through 2 November 2023 -- 196710en_US
dc.description.abstractThis research paper presents a planning concept aimed at defining repetitive delivery patterns for supplying grocery retailer stores from a distribution centre. The utilization of repetitive delivery patterns offers significant benefits in terms of workforce scheduling for shelf replenishment, establishment of cyclic transportation routes, and management of warehouse capacities. By employing this approach, all logistical subsystems of a retail chain, including warehousing, transportation, and in-store logistics, are effectively scheduled together. Our proposal introduces a novel model that minimizes total costs across all interconnected subsystems of a retail distribution chain. We also develop a fix and optimize heuristic that involves dividing the main problem into subproblems which are easily solved. The performance of the proposed solution technique is tested on a randomly generated dataset and its efficiency is proved. © 2023 Computers and Industrial Engineering. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherComputers and Industrial Engineeringen_US
dc.relation.ispartofProceedings of International Conference on Computers and Industrial Engineering, CIEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDelivery patternsen_US
dc.subjectFix and optimizeen_US
dc.subjectFleet sizingen_US
dc.subjectOptimizationen_US
dc.subjectSalesen_US
dc.subjectWarehousesen_US
dc.subjectDelivery patternen_US
dc.subjectDistribution centresen_US
dc.subjectFix and optimizeen_US
dc.subjectFleet sizingen_US
dc.subjectGrocery retaileren_US
dc.subjectPlanning problemen_US
dc.subjectResearch papersen_US
dc.subjectTransportation managementen_US
dc.subjectWarehouse capacityen_US
dc.subjectWorkforce schedulingen_US
dc.subjectTransportation routesen_US
dc.titleA Fix and Optimize Approach for the Integrated Fleet Sizing and Delivery Pattern Planning Problemen_US
dc.typeConference Objecten_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume1en_US
dc.identifier.startpage249en_US
dc.identifier.endpage256en_US
dc.identifier.scopus2-s2.0-85184133969en_US
dc.institutionauthorErtogra, K.-
dc.authorscopusid58025431100-
dc.authorscopusid58864383800-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show simple item record



CORE Recommender

Page view(s)

52
checked on Dec 23, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.