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A stochastic model to determine the elements of production cycle time in enterprise
dc.creator | Klarin, Milivoj | |
dc.creator | Spasojević Brkić, Vesna | |
dc.creator | Stanisavljev, Sanja | |
dc.creator | Sajfert, Zvonko | |
dc.creator | Radojičić, Miroslav | |
dc.creator | Nikolić, Milan | |
dc.creator | Jovanovski, Bojan | |
dc.date.accessioned | 2022-09-19T16:50:42Z | |
dc.date.available | 2022-09-19T16:50:42Z | |
dc.date.issued | 2012 | |
dc.identifier.issn | 2334-9638 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/1397 | |
dc.description.abstract | A model for the stochastic determination of the elements of production cycle time is proposed and experimentally verified in this survey. The originality of the model is reflected in the idea of using a work sampling model to monitor the production cycle, as one of the most significant indicators of production effectiveness and efficiency, instead of applying classical methods. It has been experimentally proved that for a corresponding representative set the elements of working time range according to normal distribution law and that, dynamically viewed, it is possible using mean value calculations to establish control limits on 3 standard deviations for the individual elements of working time and thus to master the process. | en |
dc.publisher | Univerzitet u Novom Sadu - Tehnički fakultet Mihajlo Pupin, Zrenjanin | |
dc.relation | info:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/35017/RS// | |
dc.rights | openAccess | |
dc.rights.uri | https://creativecommons.org/licenses/by-sa/4.0/ | |
dc.source | Journal of Engineering Management and Competitiveness (JEMC) | |
dc.subject | work sampling | en |
dc.subject | stochastic model | en |
dc.subject | production cycle | en |
dc.title | A stochastic model to determine the elements of production cycle time in enterprise | en |
dc.type | article | |
dc.rights.license | BY-SA | |
dc.citation.epage | 56 | |
dc.citation.issue | 2 | |
dc.citation.other | 2(2): 48-56 | |
dc.citation.spage | 48 | |
dc.citation.volume | 2 | |
dc.identifier.doi | 10.5937/jemc1202048K | |
dc.identifier.fulltext | http://machinery.mas.bg.ac.rs/bitstream/id/315/1394.pdf | |
dc.type.version | publishedVersion |