VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1607
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tran Thi Khanh Linh | en_US |
dc.date.accessioned | 2023-08-14T03:55:19Z | - |
dc.date.available | 2023-08-14T03:55:19Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://epub.vgu.edu.vn/handle/dlibvgu/1607 | - |
dc.description.abstract | In today's data-driven economy, transforming data into actionable analytics is the most effective way to increase efficiency, quality, and productivity. Because of rising demand, manufacturing processes are becoming increasingly complex. The current customer-centric and data-driven business world, along with evolving social and technological trends, continues to drive product quality and human resources to new heights. Big data is providing significant value to manufacturers. Automation, quality, production reliability, and information analysis are all used in the latest multidisciplinary fields of big data technologies in the production industry. While in the human resource sector, big data greatly supports planning and analytics. Thus, the thesis gives a general review of big data analysis along with its application in a manufacturing company environment, specifically regarding product quality and people. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution-NonCommercial 4.0 International | * |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | * |
dc.subject | Quality management | en_US |
dc.subject | Big data | en_US |
dc.title | Big data analytics and its application in production quality | en_US |
dc.type | Thesis | en_US |
item.languageiso639-1 | other | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
Appears in Collections: | Mechanical Engineering (MEN) |
Files in This Item:
File | Description | Size | Format | |
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Big data analytics and its applications in production quality management and worker management.pdf | 2.27 MB | Adobe PDF | View/Open |
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This item is licensed under a Creative Commons License