Cloud Analytics for Industry 4.0

  • 3h 23m
  • Gouse Baig Mohammad, S. Shitharth, Sachi Nandan Mohanty, Sirisha Potluri
  • De Gruyter Inc
  • 2022

This book provides research on the state-of-the-art methods for data management in the fourth industrial revolution, with particular focus on cloud.based data analytics for digital manufacturing infrastructures. Innovative techniques and methods for secure, flexible and profi table cloud manufacturing will be gathered to present advanced and specialized research in the selected area.

  • Review of cutting-edge technologies to fill the research gaps in industrial data, analytics, people and processes.
  • Advanced algorithms are mined to step forward in cloud manufacturing.

About the Author

S. Potluri, IFHE-FST; G. B. Mohammad, S. Shitharth, Vardhaman College Hyderabad; S. N. Mohanty, VIT-AP University Amaravati, India.

In this Book

  • 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
  • De Gruyter Series Smart Computing Applications
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