Advanced Analytics for Industry 4.0
Traditional Industries

Edited by Ali Soofastaei

ISBN13: 9781032033440

Imprint: CRC Press

Publisher: Taylor & Francis Ltd

Format: Hardback

Published: 27/06/2025

Availability: Not yet available

Description
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 and gas, steel and so forth. It focusses 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 is aimed at researchers, professionals, and graduate students in data science, manufacturing, automation, and computer engineering
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 4-1: Harnessing IT-OT Convergence for Digital Transformation: An Integrated Framework for Effective Project Management, Skill Development, Team Coordination and Collaboration in Manufacturing Industry 4-2: Harnessing IIoT: Enabling AI and Machine Learning for Optimized Industrial and Manufacturing Processes Chapter 5: Digitizing the Palate: Exploring Opportunities for Digital Transformation in the Food Industry Chapter 6: Constructing Tomorrow: Exploring the Future of Construction in the Era of Industry 4.0 Chapter 7: Leveraging Advanced Analytics for Transforming Logistics: The Road to Logistics 4.0 Chapter 8: Revolutionizing Chemical Engineering 4.0: AI Innovations and Machine Learning Chapter 9: Harvesting Tomorrow: The Future of Agriculture in Industry 4.0 Chapter 10: AI in Insurance: Transforming Risk Management and Customer Experience
  • Electronics engineering
  • Data mining
  • Professional & Vocational
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List Price: £120.00