
Advances in Mathematics for Industry 4.0
- 1st Edition - October 2, 2020
- Imprint: Academic Press
- Editor: Mangey Ram
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 8 9 0 6 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 8 9 0 7 - 8
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 en… Read more

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Request a sales quote- 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
- 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
- Abstract
- Chapter Outline
- 1.1 Introduction
- 1.2 Trust for all
- 1.3 Privacy by design
- 1.4 Conclusions, pending challenges, and future works
- References
- Chapter 2. Optimization techniques to support decision-making processes via MSM—an Industry 4.0 approach
- Abstract
- Chapter Outline
- 2.1 Introduction
- 2.2 The multilayer stream mapping approach
- 2.3 A synopsis of the proposed methodology
- 2.4 Problem statement—a real case study
- 2.5 Production system model
- 2.6 Optimization technique
- 2.7 Acquired results
- 2.8 Conclusions
- Acknowledgments
- References
- Chapter 3. A probabilistic approach to reconfigurable interactive manufacturing and coil winding for Industry 4.0
- Abstract
- Chapter Outline
- 3.1 Introduction
- 3.2 Probabilistic framework
- 3.3 Automatic assembly
- 3.4 Manufacturing of electric motors
- 3.5 Conclusions
- References
- Chapter 4. The tolerance scheduling problem for maximum lateness in Industry 4.0 systems
- Abstract
- Chapter Outline
- 4.1 Introduction
- 4.2 Industry 4.0 production environments
- 4.3 Scheduling
- 4.4 The tolerance scheduling problem
- 4.5 Application case: single machine scheduling minimizing Lmax
- 4.6 Conclusions
- References
- Chapter 5. Digitalization and security: a new challenge for Mathematics 4.0
- Abstract
- Chapter Outline
- 5.1 Introduction
- 5.2 The role of mathematics in Industry 4.0—a special kind of decision-making
- 5.3 The mathematics of data science—challenges to Industry 4.0
- 5.4 Digitalization and security
- 5.5 What do we mean by “digitalization”?
- 5.6 Efficiency enhancement and added value through digitalization
- 5.7 Digital distribution channels
- 5.8 Digital economy and Industry 4.0
- 5.9 Digital processes as a supreme discipline—computerization versus digitalization
- 5.10 Maturity models
- 5.11 Other success stories of mathematics and Industry 4.0
- 5.12 General technological advantages
- 5.13 Success stories in companies
- 5.14 Outlook: mathematics and Industry 4.0—digitalization and security
- References
- Further reading
- Chapter 6. Proposal and application of a framework to measure the degree of maturity in Quality 4.0: A multiple case study
- Abstract
- Chapter outline
- 6.1 Introduction
- 6.2 Industry 4.0: Pillars and perspectives of integration
- 6.3 Quality 4.0: Alignment of quality in the new scenario of the Fourth Industrial Revolution
- 6.4 Framework development to assess the organization’s Quality 4.0 maturity
- 6.5 Quality 4.0: Multiple case study
- 6.6 Comments and future perspectives
- References
- Chapter 7. Intelligent manufacturing as a social institute: Internal and external regulation
- Abstract
- Chapter Outline
- 7.1 Introduction
- 7.2 Literature review
- 7.3 Materials and method
- 7.4 Results
- 7.5 Conclusions
- Acknowledgments
- References
- Chapter 8. Production planning and supply chain management under the conditions of Industry 4.0
- Abstract
- Chapter outline
- 8.1 Introduction
- 8.2 Literature review
- 8.3 Materials and method
- 8.4 Results
- 8.5 Conclusions
- Acknowledgment
- References
- Chapter 9. Infrastructural provision and organization of production on the basis of the Internet of Things
- Abstract
- Chapter outline
- 9.1 Introduction
- 9.2 Literature review
- 9.3 Materials and method
- 9.4 Results
- 9.5 Conclusions
- Acknowledgment
- References
- Chapter 10. Artificial intelligence as the core of production of the future: Machine learning and intellectual decision supports
- Abstract
- Chapter outline
- 10.1 Introduction
- 10.2 Literature review
- 10.3 Materials and method
- 10.4 Results
- 10.5 Conclusions
- Acknowledgment
- References
- Chapter 11. Active digital manufacturing: Conceptual foundations and practical solutions
- Abstract
- Chapter Outline
- 11.1 Introduction
- 11.2 Literature review
- 11.3 Materials and method
- 11.4 Results
- 11.5 Conclusions
- Acknowledgment
- References
- Chapter 12. Big Data management and data analysis: Applied solutions in view of the spheres of the modern economy
- Abstract
- Chapter outline
- 12.1 Introduction
- 12.2 Literature review
- 12.3 Materials and method
- 12.4 Results
- 12.5 Conclusions
- References
- Chapter 13. Infusion–diffusion process-based modeling and profit estimation for manufacturing industries
- Abstract
- Chapter outline
- 13.1 Introduction
- 13.2 Role of warranty in determining overall profit: A literature review
- 13.3 Formulation of sales function
- 13.4 Optimization problem formulation
- 13.5 Numerical illustration
- 13.6 Managerial implications
- 13.7 Conclusions
- References
- Chapter 14. Application of AHP in evaluating the financial performance of industries
- Abstract
- Chapter outline
- 14.1 Introduction
- 14.2 Financial ratios
- 14.3 Methodology
- 14.4 Experiments and results
- 14.5 Discussion and conclusions
- References
- Chapter 15. Application of Internet of Things-aided simulation and digital twin technology in smart manufacturing
- Abstract
- Chapter Outline
- 15.1 Introduction
- 15.2 Smart manufacturing systems and Industry 4.0 technologies—a glimpse
- 15.3 Digital twin-driven smart manufacturing
- 15.4 Creation of a digital twin in a smart manufacturing system
- 15.5 Summary
- References
- Chapter 16. Mathematical models for the dimensional accuracy of products generated by additive manufacturing
- Abstract
- Chapter Outline
- 16.1 Introduction to dimensional quality in additive manufacturing
- 16.2 Main factors for dimensional accuracy in additive manufacturing
- 16.3 Mathematical modeling of dimensional deviations in additive manufacturing
- 16.4 Accuracy improvement in additive manufacturing by optimization or compensation techniques
- 16.5 Conclusions
- References
- Index
- Edition: 1
- Published: October 2, 2020
- No. of pages (Paperback): 420
- No. of pages (eBook): 420
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9780128189061
- eBook ISBN: 9780128189078
MR
Mangey Ram
Prof. Mangey Ram received his Ph.D. in Mathematics (major) and Computer Science (minor) from the G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a faculty member for ca. 15 years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently a Research Professor at Graphic Era (deemed to be University), Dehradun, India and a Visiting Professor at Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia.
He is Editor-in-Chief of the International Journal of Mathematical, Engineering, and Management Sciences; Journal of Reliability and Statistical Studies; Journal of Graphic Era University; Series Editor of six book series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publisher and Guest Editor and Associate Editor for various journals.
His fields of research are reliability theory and applied mathematics.
Prof. Ram is a Senior Member of the IEEE, Senior Life Member of the Operational Research Society of India, the Society for Reliability Engineering, Quality and Operations Management in India, the Indian Society of Industrial and Applied Mathematics. He is a member of the organizing committee of several international and national conferences, seminars, and workshops. He was conferred the “Young Scientist Award” by the Uttarakhand State Council for Science and Technology, Dehradun, in 2009, and given the “Best Faculty Award” in 2011; “Research Excellence Award” in 2015; and “Outstanding Researcher Award” in 2018 for his significant contributions in academics and research at Graphic Era (deemed to be University), Dehradun, India. Most recently, he received the "Excellence in Research of the Year-2021 Award” from the Honourable Chief Minister of the Uttarakhand State, India.