Advanced Analytics for Industry 4.0: Traditional Industries
暫譯: 工業4.0的進階分析:傳統產業

Soofastaei, Ali

  • 出版商: CRC
  • 出版日期: 2025-07-17
  • 售價: $4,970
  • 貴賓價: 9.5$4,722
  • 語言: 英文
  • 頁數: 332
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032033444
  • ISBN-13: 9781032033440
  • 尚未上市,無法訂購

相關主題

商品描述

The evolution of modern technology has affected all the industry dimensions. Mother industries play a critical role in providing the precursor materials for other industries, and a small improvement in these can make a big change in others. This book covers the analytics revolution in Industry 4.0 for the mother industries, such as mining, oil and gas, and steel. It focuses on the use of advanced analytics and artificial intelligence to improve the business decisions aimed at increasing the quality and quantity of mother industries' products. It helps to design and implement their digital transformation strategies in these industries.

Key Features:

  • Provides a concise overview of state of the art for mother industries' executives and managers.
  • Highlights and describes critical opportunity areas for industries operations optimization.
  • Explains how to implement advanced data analytics through case studies and examples.
  • Provides approaches and methods to improve data-driven decision-making.
  • Brings experience and learning in digital transformation from adjacent sectors.

This book is aimed at researchers, professionals, and graduate students in data science, manufacturing, automation, and computer engineering.

商品描述(中文翻譯)

現代科技的演變影響了所有產業的各個面向。母產業在提供其他產業所需的前驅材料方面扮演著關鍵角色,這些產業的小幅改善可以對其他產業產生重大變化。本書涵蓋了工業4.0中母產業(如採礦、石油和天然氣、鋼鐵)的分析革命。它專注於利用先進的分析技術和人工智慧來改善商業決策,旨在提高母產業產品的質量和數量。它幫助這些產業設計和實施數位轉型策略。

主要特點:
- 為母產業的高層主管和經理提供簡明的最新概述。
- 突出並描述產業運營優化的關鍵機會領域。
- 通過案例研究和範例解釋如何實施先進的數據分析。
- 提供改善數據驅動決策的方法和途徑。
- 帶來來自相鄰領域的數位轉型經驗和學習。

本書旨在針對數據科學、製造、自動化和計算機工程領域的研究人員、專業人士和研究生。

作者簡介

Ali Soofastaei is the global projects leader at Vale Artificial Intelligence Centre.Vale is a multinational corporation engaged in metals and mining. It is one of the world's foremost producers of iron ore and the largest producer of nickel. Dr. Soofastaei leads innovative industrial projects in artificial intelligence (AI) applications to improve safety, productivity, and energy efficiency and reduce maintenance costs. He completed his Ph.D. at the University of Queensland in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines.

作者簡介(中文翻譯)

Ali Soofastaei 是 Vale 人工智慧中心的全球專案負責人。Vale 是一家從事金屬和礦業的跨國公司,是全球主要的鐵礦石生產商之一,也是最大的鎳生產商。Soofastaei 博士領導著在人工智慧 (AI) 應用方面的創新工業專案,旨在提高安全性、生產力和能源效率,並降低維護成本。他在昆士蘭大學完成了人工智慧在礦業工程應用領域的博士學位,並在該領域引領了深度學習和人工智慧方法的革命,以提高能源效率、降低運營和維護成本,並減少地表礦山的溫室氣體排放。