Advanced analytics for industry 4.0: Traditional Industries
Información General
- Autores: Ali Soofastaei (coord.)
- Editores: Taylor & Francis Group, CRC Press
- Año de publicación: 2025
- País: Estados Unidos
- Idioma: inglés
- ISBN: 978-1-003-18682-3, 978-1-032-03346-4, 978-1-032-03344-0
- Texto completo no disponible (Saber más ...)
Resumen
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 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.
Otros catálogos
Identificadores de libro
DOIListado de artículos
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Navigating the fourth industrial revolution: The advent of advanced analytics in traditional industries
págs. 1-20
Transforming mining operations: Harnessing advanced analytics for optimal decision-making
págs. 21-82
Designing intelligence: Harnessing soft sensors and advanced analytics in petroleum refining for Industry 4.0
págs. 83-116
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
págs. 117-193
Harnessing industrial Internet of Things: Enabling artificial intelligence and machine learning for optimized industrial and manufacturing processes
págs. 194-204
Digitizing the palate: Exploring opportunities for digital transformation in the food industry
Guillermo Garcia Garcia, Hana Trollman, Carlos Parra López, Carmen Carmona Torres, Sandeep Jagtap, Yang Luo, Ali Soofastaei
págs. 205-232
Constructing tomorrow: Exploring the future of construction in the era of Industry 4.0
págs. 233-252
Leveraging advanced analytics for transforming logistics: The road to Logistics 4.0
págs. 253-270
Revolutionizing chemical engineering 4.0: Artificial intelligence innovations and machine learning
págs. 271-288
Harvesting tomorrow: The future of agriculture in Industry 4.0
págs. 289-308
Artificial intelligence in insurance: Transforming risk management and customer experience
págs. 309-324
