An Artificial Neural Network Model for a Wholesale Company’s Order-cycle Management

dc.contributor.authorŠustrová, Terezacs
dc.coverage.issue1cs
dc.coverage.volume8cs
dc.date.accessioned2022-05-18T10:51:47Z
dc.date.available2022-05-18T10:51:47Z
dc.date.issued2016-06-01cs
dc.description.abstractThe purpose of this article is to verify the possibility of using artificial neural networks (ANN) in business management processes, primarily in the area of supply chain management. The author has designed several neural network models featuring different architectures to optimize the level of the company’s inventory. The results of the research show that ANN can be used for managing a company’s order cycle and lead to reduced levels of goods purchased and storage costs. Optimal neural networks show suitable results for subsequent prediction of the amount of items to be ordered and for achieving reduced inventory purchase and keeping costs down.en
dc.formattextcs
dc.format.extent1-6cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationInternational Journal of Engineering Business Management. 2016, vol. 8, issue 1, p. 1-6.en
dc.identifier.doi10.5772/63727cs
dc.identifier.issn1847-9790cs
dc.identifier.other126189cs
dc.identifier.urihttp://hdl.handle.net/11012/204284
dc.language.isoencs
dc.publisherInTechcs
dc.relation.ispartofInternational Journal of Engineering Business Managementcs
dc.relation.urihttps://journals.sagepub.com/doi/full/10.5772/63727cs
dc.rightsCreative Commons Attribution 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1847-9790/cs
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/cs
dc.subjectLot-sizing Problemen
dc.subjectInventory Managementen
dc.subjectArtificial Neural Networken
dc.titleAn Artificial Neural Network Model for a Wholesale Company’s Order-cycle Managementen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-126189en
sync.item.dbtypeVAVen
sync.item.insts2022.05.18 12:51:47en
sync.item.modts2022.05.18 12:14:21en
thesis.grantorVysoké učení technické v Brně. Fakulta podnikatelská. Ústav informatikycs
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