Machine Learning for Sustainable Manufacturing in Industry 4.0
Concept, Concerns and Applications
Series: Mathematical Engineering, Manufacturing, and Management Sciences;
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Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 3 November 2023
- ISBN 9781032393056
- Binding Hardback
- No. of pages250 pages
- Size 234x156 mm
- Weight 476 g
- Language English
- Illustrations 5 Illustrations, black & white; 28 Illustrations, color; 24 Halftones, black & white; 9 Line drawings, black & white; 10 Tables, black & white 509
Categories
Short description:
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods.
MoreLong description:
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning in the field of Industry 4.0 for better quality products and efficient manufacturing methods.
- Focusses on machine learning applications in Industry 4.0 ecosystem, such as resource optimization, data analysis, and predictions.
- Highlights the importance of the explainable machine learning model in the manufacturing processes.
- Presents the integration of machine learning and big data analytics from an industry 4.0 perspective.
- Discusses advanced computational techniques for sustainable manufacturing.
- Examines environmental impacts of operations and supply chain from an industry 4.0 perspective.
This book provides scientific and technological insight into sustainable manufacturing by covering a wide range of machine learning applications fault detection, cyber-attack prediction, and inventory management. It further discusses resource optimization using machine learning in industry 4.0, and explainable machine learning models for industry 4.0. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including mechanical engineering, manufacturing engineering, production engineering, aerospace engineering, and computer engineering.
MoreTable of Contents:
Chapter 1
Machine Learning and Sustainable Manufacturing: Introduction, Framework and Challenges
Chapter 2
Applications of Artificial Intelligence Across Industry 4.0
Chapter 3
ML Techniques for Analyzing Security Threats and Enhancing Sustainability in Medical Field based on Industry 4.0
Chapter 4
Role of Machine Learning in Cyber-Physical Systems to Improve Manufacturing Processes
Chapter 5
Environmental Impact of Operations and Supply Chain from Fourth Industrial Revolution and Machine Learning Approaches
Chapter 6
Machine Learning for Resource Optimization in Industry 4.0 Eco-system
Chapter 7
Applications of Machine Learning in Smart Factory in 4th Generation Industrial Environment
Chapter 8
Role of Machine Learning in Industry 4.0 Applications: A Review
Chapter 9
Supervised Learning Assisted Models for the Manufacturing of Sustainable Composites
Chapter 10
Explainable Machine Learning Model for Industrial 4.0
Chapter 11
Applications of Machine Learning in the Manufacturing Sector: Concept, Framework
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