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Advanced Analytics for Industry 4.0 by Ali Soofastaei (Hardback)
£120.00
Available
Product Ref. (e.g. ISBN, SKU)
9781032033440
Published:
27 Jun 2025
Format:
Hardback
Number of pages:
368 pages
Dimensions:
234mm
Weight:
0.000kgs
Author:
This volume covers the analytics revolution in Industry 4.0 for the mother industries like mining, oil & gas, steel and so forth. It fousses on use of advanced analytics and artificial intelligence to improve the business decisions aimed to increase the quality and quantity of mother industries' products.
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 other ones. This volume covers the analytics revolution in Industry 4.0 for the mother industries like mining, oil & gas, steel and so forth. It fousses on use of advanced analytics and artificial intelligence to improve the business decisions aimed to increase the quality and quantity of mother industries' products. It helps to design and implement their digital transformation strategies in these industries. 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 volume aims at researchers, professionals, graduate students in data science, manufacturing, automation and computer engineering.
About the Author: Dr. 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. Dr. Soofastaei leads innovative industrial projects in artificial intelligence (AI) applications to improve safety, productivity, and energy efficiency and reduce maintenance costs. Dr. 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. As an assistant professor, he has provided undergraduate and postgraduate students with practical guidance in engineering and information technology. In the past 15 years, he has conducted various research studies in academic and industrial environments. He has acquired in-depth knowledge of energy efficiency opportunities (EEO) and advanced analytics. He is an expert in using DL and AI methods in data analysis to develop predictive, optimization, and decision models of complex systems. Dr. Soofastaei has been involved in industrial research and development projects in several industries, including oil and gas (Royal Dutch Shell); steel (Danieli); and mining (BHP, Rio Tinto, Anglo American, and Vale). His extensive practical experience in the industry has equipped him to work with complex industrial problems in highly technical and multi-disciplinary teams. As a research and development team member, Dr. Soofastaei has been actively involved in site inspections, business problem identification, and root cause analysis. He has experience in managing brainstorming sessions with operators, supervisors, managers, and original equipment manufacturers (OEMs) in the areas of automation (e.g., with electrical and computer systems engineers), maintenance (e.g., with mechanical engineers and maintenance supervisors), and production (e.g., process engineers, metallurgists). Dr. Soofastaei has more than ten years of academic experience as an assistant professor and a global research leader. His research and development projects have been published in international journals and keynote presentations; He has presented his practical achievements at conferences in the United States, Europe, Asia, and Australia.
| Number of pages | 368 |
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