Advances in Mathematics for Industry 4 0 1st Edition by Mangey Ram ISBN 0128189061 978-0128189061

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Product details:

ISBN 10: 0128189061

ISBN 13: 978-0128189061

Author: Mangey Ram

 Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods.

• Focuses on recent research in mathematics applications for Industry 4.0
• Provides insights on international and transnational scales
• Identifies mathematics knowledge gaps for Industry 4.0
• Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research

Table of contents: 

Cover image
Title page
Table of Contents
Copyright
List of contributors
About the editor
Preface
Acknowledgments

Chapter 1. Trust-enhancing technologies: Blockchain mathematics in the context of Industry 4.0
Chapter 2. Optimization techniques to support decision-making processes via MSM—an Industry 4.0 approach
Chapter 3. A probabilistic approach to reconfigurable interactive manufacturing and coil winding for Industry 4.0
Chapter 4. The tolerance scheduling problem for maximum lateness in Industry 4.0 systems
Chapter 5. Digitalization and security: a new challenge for Mathematics 4.0
Chapter 6. Proposal and application of a framework to measure the degree of maturity in Quality 4.0: A multiple case study
Chapter 7. Intelligent manufacturing as a social institute: Internal and external regulation
Chapter 8. Production planning and supply chain management under the conditions of Industry 4.0
Chapter 9. Infrastructural provision and organization of production on the basis of the Internet of Things
Chapter 10. Artificial intelligence as the core of production of the future: Machine learning and intellectual decision supports
Chapter 11. Active digital manufacturing: Conceptual foundations and practical solutions
Chapter 12. Big Data management and data analysis: Applied solutions in view of the spheres of the modern economy
Chapter 13. Infusion–diffusion process-based modeling and profit estimation for manufacturing industries
Chapter 14. Application of AHP in evaluating the financial performance of industries
Chapter 15. Application of Internet of Things-aided simulation and digital twin technology in smart manufacturing
Chapter 16. Mathematical models for the dimensional accuracy of products generated by additive manufacturing

Index

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