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dc.contributor.authorFiala, Petr
dc.contributor.authorMajovská, Renata
dc.date.accessioned2019-02-22T13:38:21Z
dc.date.available2019-02-22T13:38:21Z
dc.date.issued2018
dc.identifier.citationTrendy v podnikání = Business trends : vědecký časopis Fakulty ekonomické ZČU v Plzni. 2018, roč. 8, č. 3, s. 32-38.cs
dc.identifier.issn1805-0603
dc.identifier.urihttp://hdl.handle.net/11025/31039
dc.identifier.urihttps://drive.google.com/drive/folders/1EdIrV9uxzuGcivA4HJaZ-5IngUly08nn
dc.description.sponsorshipVýzkumný projekt je podporován grantem č. P402/12/G097 Grantové agentury České republiky a grantem č. IGA F4/57/2017, Fakulty informatiky a statistiky, VŠE, Praha a grantem č. 7429/2018/08 VŠFS, Praha.cs
dc.format7 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isocscs
dc.publisherZápadočeská univerzita v Plznics
dc.relation.ispartofseriesTrendy v podnikánícs
dc.rights© Západočeská univerzita v Plznics
dc.subjectdodavatelská síťcs
dc.subjectpřístup de Novocs
dc.titleNavrhování dodavatelských sítí metodou de Novocs
dc.title.alternativeDesign of supply networks by de Novo methoden
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedMulti-objective supply network design problem is formulated and solved by De Novo approach. The suitability of supply chains can be measured by multiple objectives, such as economic, environmental, social, and others. Traditional concepts of optimality focus on valuation of already given systems. Multi-objective linear programming (MOLP) is a model of optimizing a given system by multiple objectives. In MOLP problems it is usually impossible to optimize all objectives together in a given system. As a methodology of optimal system design can be employed De Novo MOLP for reshaping feasible sets in linear systems. Innovations bring improvements to the desired objectives and the better utilization of available resources.en
dc.subject.translatedsupply networken
dc.subject.translatedde Novo approachen
dc.identifier.doihttps://doi.org/10.24132/jbt.2018.8.3.32_38
dc.type.statusPeer-revieweden
Appears in Collections:Číslo 3 (2018)
Číslo 3 (2018)

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