/
/
Description
Book Description
Digital solutions are needed to develop advanced analytics applications in different industries. The main objectives of this two volume set are presenting the scientific concepts and providing industrial case studies for different applications of advanced analytics, which can be grouped into three main areas namely descriptive, predictive and prescriptive analytics. Main prerogatives include improving understanding of the business value and applicability of different analytic approaches, and business framework to assess the value, cost, and risk of potential analytic solutions. It covers pertinent aspects of data analytics for mother and technology industries. - Provides a concise overview of state of the art for mother and technology 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 two volume set aims at researchers, professionals, graduate students in data science, manufacturing, automation and computer engineering.
Table of Contents
Volume 1: 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. Volume 2: 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
Editor
Dr. Ali Soofastaei
Biography
​Dr. Ali Soofastaei is a global artificial intelligence (AI) projects leader, an international keynote speaker, and a professional author.
​He completed his Ph.D. and Postdoctoral Research Fellow at The University of Queensland, Australia, 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. As a scientific supervisor, for many years, he has provided practical guidance to undergraduate and postgraduate students in mechanical and mining engineering and information technology.
Dr. Soofastaei has more than fifteen years of academic experience as an Assistant Professor and leader of global research activities. Results from 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. He 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. Dr. Soofastaei is working actively with some prestigious global publishers same as Mc Graw-Hill Education, Intech Open, Springer, and CRC Press as an author and academic editor.
.png)
