Cloud Analytics for Industry 4.0

Published by De Gruyter 2022

Cloud Analytics for Industry 4.0

Edited by: Sirisha Potluri , Sachi Nandan Mohanty , Gouse Baig Mohammad and S. Shitharth

Volume 6 in the series Smart Computing Applications

https://doi.org/10.1515/9783110771572

Overview
Contents

About this book

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.

Author information

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

Topics

Frontmatter Publicly Available Download PDF	I
Contents Publicly Available Download PDF	V
List of authors Publicly Available Download PDF	VII
The impact of green manufacturing in Industry 4.0 for future ecosystems G. Sucharitha, I. Venkata Sai Suhruth, Bitla Vishweshwar and Sirisha Potluri Requires Authentication Unlicensed Licensed Download PDF	1
Custom manufacturing using Industry 4.0: cost-effective industry revolution model G. Sucharitha, Ujjwal Shivacharya, Sri Vishal Lanka and Sirisha Potluri Requires Authentication Unlicensed Licensed Download PDF	17
Cloud-based industrial IoT infrastructure to facilitate efficient data analytics T. Padmavathy, C. Muralidharan and Y. Mohamed Sirajudeen Requires Authentication Unlicensed Licensed Download PDF	31
An impact of robust Industry 4.0 strategy on supply chain management G. Anil Kumar, R. Praveen Sam, A. Ravi Kumar and V. Subbaramaiah Requires Authentication Unlicensed Licensed Download PDF	53
Machine learning based smart cloud factories P. Dileep, Madadi Vijayakamal and Mantri Gayatri Requires Authentication Unlicensed Licensed Download PDF	71
Sustainable and flexible digital models for the manufacturing of ecosystem Fahmina Taranum, K. Niraja and Maniza Hijab Requires Authentication Unlicensed Licensed Download PDF	91
Industry 4.0: efficient supply chain management using energy-aware cloud infrastructure model Ruqqaiya Begum and Koti Tejasvi Requires Authentication Unlicensed Licensed Download PDF	103
Analytical models for planning and control of autonomous mobile robots for logistic management K. Tejasvi and Ruqqaiya Begum Requires Authentication Unlicensed Licensed Download PDF	121
Industry 4.0: augmented reality in smart manufacturing industry environment to facilitate faster and easier work procedures Ayesha Mariyam, Sk. Althaf Hussain Basha and S. Viswanadha Raju Requires Authentication Unlicensed Licensed Download PDF	141
Prediction of knee osteoarthritis progression using machine learning techniques G. Malini Devi Requires Authentication Unlicensed Licensed Download PDF	163
Index Requires Authentication Unlicensed Licensed Download PDF	173

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Researchers, Graduate Students, Professionals and Developers.
Pages
- Front matter: 9
- Main content: 175
Illustrations
- Illustrations: 7
- Coloured Illustrations: 44
- Tables: 8
Keywords: Digital Manufacturing; Industry 4.0; Cloud Analytics; Additive manufacturing; Industrial IoT; AI Manufacturing; Enterprise Asset Management; Cloud Manufacturing

eBook

Published: October 3, 2022
ISBN: 9783110771572

Hardcover

Published: October 3, 2022
ISBN: 9783110771497