Advanced Analytics for Industry 4.0

Technology Industries
1. Auflage 2026
ISBN: 978-1-032-03347-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 488 Seiten, Format (B × H): 178 mm x 254 mm

Advanced analytics is revolutionizing the industrial sector, empowering technology enterprises to harness online data sources for actionable insights. These insights drive advancements in everything from operational process automation to enhancing customer experiences. This volume explores the transformative benefits of advanced analytics across technology-driven industries such as computing, telecommunications, aerospace, electronics, robotics, and e-commerce. It delves into how reduced costs, democratized data, and faster management capabilities enable dynamic forecasting, complete supply chain visibility, and enhanced security measures to ensure privacy compliance—even in remote work environments.

Key features:

- A concise overview of cutting-edge analytics tailored for executives and managers in advanced industries.

- Identification of critical opportunities for optimizing industrial operations.

- Practical guidance on implementing advanced data analytics through real-world case studies and examples.

- Proven approaches and methodologies to enhance data-driven decision-making.

- Insights and lessons from digital transformation efforts in adjacent sectors.

This volume is an essential resource for researchers, professionals, and graduate students in data science, manufacturing, automation, and computer engineering.

Zielgruppe

Academic and Professional Practice & Development

Autoren/Hrsg.

Soofastaei, Ali

Fachgebiete

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

Inhaltsverzeichnis

1. Introduction 2. Aerospace Industry 3. Car Manufacturing 4. Marketing 5. Steel Manufacturing 6. Biomechanics Industry 7. Utilities 8. Energy Industry 9. Infrastructure Industry 10. Shipping Industry

Über Autor(innen)

Ali Soofastaei is a 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. Soofastaei leads innovative industrial projects in artificial intelligence (AI) applications to improve safety, productivity, and energy efficiency and reduce maintenance costs. Soofastaei completed his Ph.D. at The University of Queensland (UQ) in the field of AI applications in mining engineering, where he led a revolution in the use of deep learning (DL) and AI methods to increase energy efficiency, reduce operation and maintenance costs, and reduce greenhouse gas emissions in surface mines.