Advanced Analytics for Industry 4.0

Traditional Industries
1. Auflage 2025
ISBN: 978-1-032-03344-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 358 Seiten, Format (B × H): 156 mm x 234 mm

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 industry 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.

Zielgruppe

Academic and Professional Practice & Development

Autoren/Hrsg.

Soofastaei, Ali

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Technische Wissenschaften Technik Allgemein Industrial Engineering

Inhaltsverzeichnis

Chapter 1: Navigating the Fourth Industrial Revolution: The Advent of Advanced Analytics in Traditional Industries Chapter 2: Transforming Mining Operations: Harnessing Advanced Analytics for Optimal Decision-Making Chapter 3: Designing Intelligence: Harnessing Soft Sensors and Advanced Analytics in Petroleum Refining for Industry 4.0 Chapter 4: Harnessing the Convergence of Information Technology and Operational Technology for Digital Transformation: An Integrated Framework for Effective Project Management, Skill Development, Team Coordination, and Collaboration in Manufacturing Industry Chapter 5: Harnessing Industrial Internet of Things: Enabling Artificial Intelligence and Machine Learning for Optimized Industrial and Manufacturing Processes Chapter 6: Digitizing the Palate: Exploring Opportunities for Digital Transformation in the Food Industry Chapter 7: Constructing Tomorrow: Exploring the Future of Construction in the Era of Industry 4.0 Chapter 8: Leveraging Advanced Analytics for Transforming Logistics: The Road to Logistics 4.0 Chapter 9: Revolutionizing Chemical Engineering 4.0: Artificial Intelligence Innovations and Machine Learning Chapter 10: Harvesting Tomorrow: The Future of Agriculture in Industry 4.0 Chapter 11: Artificial Intelligence in Insurance: Transforming Risk Management and Customer Experience

Über Autor(innen)

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.