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dc.contributor.authorCezik, Tolga
dc.contributor.authorYuan, Rong
dc.contributor.authorGraves, Stephen C
dc.date.accessioned2018-01-16T18:30:06Z
dc.date.available2018-01-16T18:30:06Z
dc.date.issued2017-11
dc.date.submitted2017-09
dc.identifier.issn0020-7543
dc.identifier.issn1366-588X
dc.identifier.urihttp://hdl.handle.net/1721.1/113206
dc.description.abstractThe stowage decision determines how arriving products are distributed in a storage system or warehouse. In particular, we consider the zone-stowage decision for large warehouses that are organised into distinct storage zones. An example would be a multi-floor warehouse where each floor is a storage zone. Each storage zone has limited picking capacity; we want to stow the product inventory across the storage zones so as to be able to meet uncertain demand requirements with the limited picking capacity in each zone. Determining how to spread the inventory across the storage zones is the zone-stowage decision that we consider in this paper. With a simulation study, we identify two zone-stowage policies that are effective in balancing the picking workload across different storage zones. The first zone-stowage policy achieves a chaining-inspired allocation by splitting the received quantity for each product across two storage zones; the second zone-stowage policy explicitly tracks the expected workload for each storage zone, termed the velocity of the zone, and then stows arriving products to the storage zone with the smallest velocity. Key Words: Stowage Decision, Storage Systems, Flexibility, Warehousing Systemsen_US
dc.language.isoen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionofhttps://doi.org/10.1080/00207543.2017.1398428en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Gravesen_US
dc.titleStowage decisions in multi-zone storage systemsen_US
dc.typeArticleen_US
dc.identifier.citationYuan, Rong et al. “Stowage Decisions in Multi-Zone Storage Systems.” International Journal of Production Research (November 2017): 1–11 © 2017 Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.approverGraves, Stephen Cen_US
dc.contributor.mitauthorYuan, Rong
dc.contributor.mitauthorGraves, Stephen C
dc.relation.journalInternational Journal of Production Researchen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsYuan, Rong; Cezik, Tolga; Graves, Stephen C.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-2370-9296
dc.identifier.orcidhttps://orcid.org/0000-0001-5966-6032
mit.licenseOPEN_ACCESS_POLICYen_US


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