Cloud analytics for Industry 4.0 / Sirisha Potluri [and three others].

Format:

Book

Author/Creator:

Potluri, Sirisha, author.

Series:

Smart Computing Applications

Smart Computing Applications ; v.6

Language:

English

Subjects (All):

Big data--Security measures.

Big data.

Cloud computing--Cost control.

Cloud computing.

Physical Description:

1 online resource (186 pages)

Place of Publication:

Berlin : Walter de Gruyter GmbH, [2022]

Summary:

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.

Contents:

Frontmatter

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

Notes:

Description based on print version record.

ISBN:

3-11-077157-8