An Integrated SEM-ANN Approach for Predicting QMS Achievements in Industry 4.0
dc.citation.epage | 1912 | |
dc.citation.issue | 15-16 | |
dc.citation.rank | M22 | |
dc.citation.spage | 1896 | |
dc.citation.volume | 33 | |
dc.contributor.author | Milošević, Isidora | |
dc.contributor.author | Ruso, Jelena | |
dc.contributor.author | Glogovac, Maja | |
dc.contributor.author | Arsić, Sanela | |
dc.contributor.author | Rakić, Ana | |
dc.date.accessioned | 2023-12-25T21:42:12Z | |
dc.date.available | 2023-12-25T21:42:12Z | |
dc.date.issued | 2022 | |
dc.identifier.doi | 10.1080/14783363.2021.2011194 | |
dc.identifier.uri | https://repozitorijum.tfbor.bg.ac.rs/handle/123456789/724 | |
dc.language.iso | en | |
dc.rights.license | ARR | |
dc.rights.uri | https://en.wikipedia.org/wiki/All_rights_reserved | |
dc.source | Total Quality Management & Business Excellence | |
dc.title | An Integrated SEM-ANN Approach for Predicting QMS Achievements in Industry 4.0 | |
dc.type | article | |
dc.type.version | publishedVersion |