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dc.contributor.authorSchindlerová, Vladimíra
dc.contributor.authorŠajdlerová, Ivana
dc.date.accessioned2020-04-07T19:07:41Z
dc.date.available2020-04-07T19:07:41Z
dc.date.issued2020
dc.identifier.citationAdvances in Science and Technology Research Journal. 2020, vol. 14, issue 1, p. 81-88.cs
dc.identifier.issn2080-4075
dc.identifier.issn2299-8624
dc.identifier.urihttp://hdl.handle.net/10084/139377
dc.description.abstractMany companies have started using dynamic simulation as full support for their own optimization team to optimize business processes. The 3D visualization can facilitate understanding of the links among processes and their connections. It can significantly contribute to its appropriate implementation. which aims at saving costs, simplifying processes, introducing new or innovated processes, etc. Application field is not significant for the 3D visualization. Predictive simulation can be applied in any process, from storage. logistics, handling, through production line optimization to distribution. The submitted paper deals with the optimization of the production process regarding the reduction of handling demands for the company in the automotive industry. Businesses are currently facing an issue of handling complexity, which has a relatively high cost, depending on the amount of unnecessary and chaotic trips within production processes. It is necessary to modify the charging method in any change of production. This is connected with an increase of non-productive rides. The article introduces the possibility of a variant solution with the possibility to use dynamic simulation as a powerful tool for the process optimization.cs
dc.language.isoencs
dc.publisherLublin University of Technologycs
dc.relation.ispartofseriesAdvances in Science and Technology Research Journalcs
dc.relation.urihttp://doi.org/10.12913/22998624/113616cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectsimulationcs
dc.subject3D visualizationcs
dc.subjectlogisticscs
dc.subjectoptimizationcs
dc.titleUse of the dynamic simulation to reduce handling complexity in the manufacturing processcs
dc.typearticlecs
dc.identifier.doi10.12913/22998624/113616
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume14cs
dc.description.issue1cs
dc.description.lastpage88cs
dc.description.firstpage81cs
dc.identifier.wos000514802500011


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