Vis enkel innførsel

dc.contributor.authorSgarbossa, Fabio
dc.contributor.authorCalzavara, Martina
dc.contributor.authorPersona, Alessandro
dc.date.accessioned2020-03-24T09:43:49Z
dc.date.available2020-03-24T09:43:49Z
dc.date.created2019-09-10T16:29:33Z
dc.date.issued2019
dc.identifier.citationIndustrial management & data systems. 2019, 119 (6), 1268-1288.en_US
dc.identifier.issn0263-5577
dc.identifier.urihttps://hdl.handle.net/11250/2648287
dc.description.abstractPurpose Vertical lift module (VLM) is a parts-to-picker system for order picking of small products, which are stored into two columns of trays served by a lifting crane. A dual-bay VLM order picking (dual-bay VLM-OP) system is a particular solution where the operator works in parallel with the crane, allowing higher throughput performance. The purpose of this paper is to define models for different operating configurations able to improve the total throughput of the dual-bay VLM-OP system. Design/methodology/approach Analytical models are developed to estimate the throughput of a dual-bay VLM-OP. A deep evaluation has been carried out, considering different storage assignment policies and the sequencing retrieval of trays. Findings A more accurate estimation of the throughput is demonstrated, compared to the application of previous models. Some use guidelines for practitioners and academics are derived from the analysis based on real data. Originality/value Differing from previous contributions, these models include the acceleration/deceleration of the crane and the probability of storage and retrieve of each single tray. This permits to apply these models to different storage assignment policies and to suggest when these policies can be profitably applied. They can also model the sequencing retrieval of trays.en_US
dc.language.isoengen_US
dc.publisherEmeralden_US
dc.titleThroughput models for a dual-bay VLM order picking system under different configurationsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber1268-1288en_US
dc.source.volume119en_US
dc.source.journalIndustrial management & data systemsen_US
dc.source.issue6en_US
dc.identifier.doi10.1108/IMDS-11-2018-0518
dc.identifier.cristin1723421
dc.description.localcode© 2019. This is the authors' accepted and refereed manuscript to the article. The final authenticated version is available online at: http://dx.doi.org/10.1108/IMDS-11-2018-0518en_US
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel