⌕ Поиск по атласу

NIST · ИТ · 851545f854600af0e9ba

851545f854600af0e9ba · A Framework for Identifying and Prioritizing Data Analytics Opportunities in Additive Manufacturing

A Framework for Identifying and Prioritizing Data Analytics Opportunities in Additive Manufacturing

Many industries, including manufacturing, are adopting data analytics (DA) in making decisions to improve quality, cost, and on-time delivery. In recent years, more research and development efforts have applied DA to additive manufacturing (AM) decision

Официальный источник · 2019-12-09

Полные импортированные сведения карточки
{
  "title_en": "A Framework for Identifying and Prioritizing Data Analytics Opportunities in Additive Manufacturing",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2019-12-09",
  "date_original": "December 9, 2019",
  "url": "https://www.nist.gov/publications/framework-identifying-and-prioritizing-data-analytics-opportunities-additive",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Hyunseop Park , Hyunwoong Ko , Yung-Tsun T. Lee , Hyunbo Cho, Paul W. Witherell",
  "abstract_excerpt_en": "Many industries, including manufacturing, are adopting data analytics (DA) in making decisions to improve quality, cost, and on-time delivery. In recent years, more research and development efforts have applied DA to additive manufacturing (AM) decision",
  "id": "851545f854600af0e9ba",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "A Framework for Identifying and Prioritizing Data Analytics Opportunities in Additive Manufacturing",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2019-12-09",
      "date_original": "December 9, 2019",
      "url": "https://www.nist.gov/publications/framework-identifying-and-prioritizing-data-analytics-opportunities-additive",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Hyunseop Park , Hyunwoong Ko , Yung-Tsun T. Lee , Hyunbo Cho, Paul W. Witherell",
      "abstract_excerpt_en": "Many industries, including manufacturing, are adopting data analytics (DA) in making decisions to improve quality, cost, and on-time delivery. In recent years, more research and development efforts have applied DA to additive manufacturing (AM) decision"
    }
  ],
  "translation_state": "none"
}