Cloud Analytics for Industry 4.0

✍ Scribed by Sirisha Potluri, Sachi Nandan Mohanty, Gouse Baig Mohammad, S. Shitharth

• Publisher: De Gruyter
• Year: 2022
• Tongue: English
• Leaves: 186
• Series: De Gruyter Series on Smart Computing Applications, 6
• Category: Library

✦ Synopsis

The book series "Smart Computing Applications" provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical and applied data science and computing technologies research, with a particular attention to the possible applications of such technologies in the industry, especially in the field of mechanical and industrial engineering.

This series serves as a valuable resource for graduate, postgraduate, doctoral students, researchers, academicians and industry professionals.

✦ Table of Contents

Contents
List of authors
The impact of green manufacturing in Industry 4.0 for future ecosystems
Custom manufacturing using Industry 4.0: cost-effective industry revolution model
Cloud-based industrial IoT infrastructure to facilitate efficient data analytics
An impact of robust Industry 4.0 strategy on supply chain management
Machine learning based smart cloud factories
Sustainable and flexible digital models for the manufacturing of ecosystem
Industry 4.0: efficient supply chain management using energy-aware cloud infrastructure model
Analytical models for planning and control of autonomous mobile robots for logistic management
Industry 4.0: augmented reality in smart manufacturing industry environment to facilitate faster and easier work procedures
Prediction of knee osteoarthritis progression using machine learning techniques
Index