| DC Field | Value | Language |
|---|
| dc.contributor.author | Гайнанов, Д. Н. | - |
| dc.contributor.author | Беренов, Д. А. | - |
| dc.date.accessioned | 2017-05-16T08:55:29Z | - |
| dc.date.accessioned | 2017-07-18T11:53:10Z | - |
| dc.date.available | 2017-05-16T08:55:29Z | - |
| dc.date.available | 2017-07-18T11:53:10Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Гайнанов, Д. Н. Технологии Big Data в системах контроля качества металлургического производства / Д. Н. Гайнанов, Д. А. Беренов // BIG DATA and Advanced Analytics: collection of materials of the third international scientific and practical conference, Minsk, Belarus, May 3–4, 2017 / editorial board : М. Batura [et al.]. – Minsk : BSUIR, 2017. – С. 65-70. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/12869 | - |
| dc.description.abstract | The paper considers the application of Big Data technologies in quality control systems in metallurgical production. The concept of a technological pyramid is introduced on the basis of which an approach to solving the problem of the optimal assignment of technological routes is developed and it is shown how this approach can be used to reduce
the level of manufacturing defects. The proposed methods are aproved at the «Severstal» metallurgical plant within the
framework of the AS SPС project (automated system for statistical production control). | ru_RU |
| dc.language.iso | ru | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | Big Data | ru_RU |
| dc.title | Технологии Big Data в системах контроля качества металлургического производства | ru_RU |
| dc.type | Article | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics. Использование BIG DATA для оптимизации бизнеса и информационных технологий (2017)
|
