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dc.contributor.authorFedorko, Gabriel
dc.contributor.authorMolnár, Vieroslav
dc.contributor.authorHonus, Stanislav
dc.contributor.authorNeradilová, Hana
dc.contributor.authorKampf, Rudolf
dc.date.accessioned2018-12-14T10:10:05Z
dc.date.available2018-12-14T10:10:05Z
dc.date.issued2018
dc.identifier.citationInternational Journal of Simulation Modelling. 2018, vol. 17, issue 3, p. 444-457.cs
dc.identifier.issn1726-4529
dc.identifier.issn1996-8566
dc.identifier.urihttp://hdl.handle.net/10084/133417
dc.description.abstractAt present, AGV systems are an important part of numerous companies and their internal logistics systems. They are used to efficiently secure different types of transport processes in order to minimize operating costs. However, their reliable operation requires adequate setting and maintenance. Computer simulation is probably the most suitable option from a wide range of engineering methods with which to meet these requirements. This paper describes the development of a simulation model in the Tecnomatix Plant Simulation program to identify critical points of failure within a specific delivery process on the basis of a Milk Run system. Based on the results obtained, an appropriate solution was determined with which to make the whole process function more efficiently and reliably.cs
dc.language.isoencs
dc.publisherDAAAM Internationalcs
dc.relation.ispartofseriesInternational Journal of Simulation Modellingcs
dc.relation.urihttp://doi.org/10.2507/IJSIMM17(3)440cs
dc.rightsCopyright ©2018 DAAAM International Vienna, All Rights Reservedcs
dc.subjectAGV simulationcs
dc.subjectmilk runcs
dc.subjectperformance efficiencycs
dc.subjectdeliverycs
dc.subjectfailurescs
dc.titleThe application of simulation model of a milk run to identify the occurrence of failurescs
dc.typearticlecs
dc.identifier.doi10.2507/IJSIMM17(3)440
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume17cs
dc.description.issue3cs
dc.description.lastpage457cs
dc.description.firstpage444cs
dc.identifier.wos000450486200006


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