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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1979
DC FieldValueLanguage
dc.contributor.authorTran Thanh Longen_US
dc.date.accessioned2025-02-18T03:17:56Z-
dc.date.available2025-02-18T03:17:56Z-
dc.date.issued2024-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1979-
dc.description.abstractIn today’s data-driven economy, transforming data into actionable analytics is the most effective way to increase efficiency, quality, and productivity. Manufacturing processes have become increasingly complex due to rising demand. This thesis explores the importance of big data analytics in reducing product cycle time and improving production efficiency. By analyzing real-time data from an industrial blades company, the research aims to prove the significance of data in optimizing production processes, setting KPIs, and reducing waste. The findings highlight how big data analytics can enhance decision-making and streamline manufacturing operations.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectBig data analyticsen_US
dc.subjectProduct cycle timeen_US
dc.titleBig data analytics and its application in production time and lower product cycle timeen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextopen-
Appears in Collections:Mechanical Engineering (MEN)
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