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Chapter 1 - Trust-enhancing technologies: Blockchain mathematics in the context of Industry 4.0
Borja Bordel and Ramón Alcarria
Pages 1-22 - Book chapterAbstract only
Chapter 2 - Optimization techniques to support decision-making processes via MSM—an Industry 4.0 approach
Paulo Peças, Beatriz Gonçalves, ... António Baptista
Pages 23-60 - Book chapterAbstract only
Chapter 3 - A probabilistic approach to reconfigurable interactive manufacturing and coil winding for Industry 4.0
Stefano Michieletto, Francesca Stival and Enrico Pagello
Pages 61-93 - Book chapterAbstract only
Chapter 4 - The tolerance scheduling problem for maximum lateness in Industry 4.0 systems
Daniel Alejandro Rossit and Fernando Tohmé
Pages 95-113 - Book chapterAbstract only
Chapter 5 - Digitalization and security: a new challenge for Mathematics 4.0
Teresa Loreth and Stefan Pickl
Pages 115-130 - Book chapterAbstract only
Chapter 6 - Proposal and application of a framework to measure the degree of maturity in Quality 4.0: A multiple case study
Camila Garmes Armani, Karina Fernandes de Oliveira, ... Alessandra Cristina Santos Akkari
Pages 131-163 - Book chapterAbstract only
Chapter 7 - Intelligent manufacturing as a social institute: Internal and external regulation
Elena G. Popkova, Anna. V. Shokhnekh, ... Ekaterina M. Egorova
Pages 165-187 - Book chapterAbstract only
Chapter 8 - Production planning and supply chain management under the conditions of Industry 4.0
Aleksei V. Bogoviz, Anastasia A. Kurilova, ... Evgeny A. Likholetov
Pages 189-210 - Book chapterAbstract only
Chapter 9 - Infrastructural provision and organization of production on the basis of the Internet of Things
Aleksei V. Bogoviz, Anastasia A. Kurilova, ... Larisa A. Melikhova
Pages 211-233 - Book chapterAbstract only
Chapter 10 - Artificial intelligence as the core of production of the future: Machine learning and intellectual decision supports
Aleksei V. Bogoviz, Anastasia A. Kurilova, ... Anastasia A. Sozinova
Pages 235-256 - Book chapterAbstract only
Chapter 11 - Active digital manufacturing: Conceptual foundations and practical solutions
Aleksei V. Bogoviz, Larisa V. Popova, ... Natalia S. Mushketova
Pages 257-279 - Book chapterAbstract only
Chapter 12 - Big Data management and data analysis: Applied solutions in view of the spheres of the modern economy
Larisa A. Ilyina, Ekaterina V. Lyubimova, ... Anton N. Sunteev
Pages 281-306 - Book chapterAbstract only
Chapter 13 - Infusion–diffusion process-based modeling and profit estimation for manufacturing industries
Adarsh Anand, Vrinda Dujari, ... Kanchan Das
Pages 307-318 - Book chapterAbstract only
Chapter 14 - Application of AHP in evaluating the financial performance of industries
Reema Monga, Deepti Aggrawal and Jagvinder Singh
Pages 319-333 - Book chapterAbstract only
Chapter 15 - Application of Internet of Things-aided simulation and digital twin technology in smart manufacturing
Behin Elahi and Sadegh Amiri Tokaldany
Pages 335-359 - Book chapterAbstract only
Chapter 16 - Mathematical models for the dimensional accuracy of products generated by additive manufacturing
Patricio Franco, M. Trinidad Sanchez and Enrique Nalda
Pages 361-388 - Book chapterNo access
Index
Pages 389-397
About the book
Description
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.
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.
Key Features
- 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
- 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
Details
ISBN
978-0-12-818906-1
Language
English
Published
2020
Copyright
Copyright © 2021 Elsevier Inc. All rights reserved.
Imprint
Academic Press