Innovation and competitiveness in industry 4.0 based on intelligent systems / Luis Carlos Méndez-González, Luis Alberto Rodríguez-Picón, Iván Juan Carlos Pérez Olguín, editors.
Méndez-González, Luis Carlos, editor.; Rodríguez-Picón, Luis Alberto, editor.; Pérez Olguín, Iván Juan Carlos, editor.
2023
T59.6
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Title Innovation and competitiveness in industry 4.0 based on intelligent systems / Luis Carlos Méndez-González, Luis Alberto Rodríguez-Picón, Iván Juan Carlos Pérez Olguín, editors.
ISBN 9783031297755 (electronic bk.)
303129775X (electronic bk.)
9783031297748
3031297741
DOI https://doi.org/10.1007/978-3-031-29775-5
Published Cham : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (x, 338 pages) : illustrations (chiefly color).
Item Number 10.1007/978-3-031-29775-5 doi
Call Number T59.6
Dewey Decimal Classification 658.4/038028563
Summary This book presents a series of applications of different techniques found in Industry 4.0 concerning productivity, continuous improvement, quality, decision systems, software development, and automation systems. The techniques used throughout this book allow the reader to replicate the results obtained towards different types of companies that wish to undertake in the new era of the digital industrial revolution. This book can also help students from different engineering areas to understand how new technologies are applied to solve current relevant problems and how they give the possibility of constant innovation in the different industrial sectors. The above is accomplished through the analysis of illustrative case studies, descriptive methodologies, and structured insights provided through the different techniques. Presents applications of techniques found in Industry 4.0 with relation to critical issues in business operation; Includes mathematical and technical methodologies applied in cases of study of Industry 4.0; Features applications associated with smart manufacturing in specific scenarios and their resolution through machine learning.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Méndez-González, Luis Carlos, editor.
Rodríguez-Picón, Luis Alberto, editor.
Pérez Olguín, Iván Juan Carlos, editor.
Series EAI/Springer innovations in communication and computing.
Available in Other Form Innovation and competitiveness in industry 4.0 based on intelligent systems.
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Chapter 1. Machine Learning and Edge Computing for Industry 4.0 Applications: Concepts and Extensive Review
Chapter 2. Failure detection system controlled by a mixed reality interface
Chapter 3. Industry 4.0 in the health sector: System for Melanoma Detection
Chapter 4. Assistive device based on computer vision
Chapter 5. Development and Evaluation of a Machine-Learning Model for Prediction of Failures in an Injection Molding Process
Chapter 6. An approach to select an open source ERP for SMEs based on industry 4.0 and digitization considering the SHERPA and WASPAS method
Chapter 7. The Technological Role of Steepest Ascent Optimization in Industry 4.0 modeling
Chapter 8. The role of industry 4.0 technologies in the energy transition: conceptual design of intelligent battery management system based on electrochemical impedance spectroscopy analysis
Chapter 9. Performance analysis of 8-channel WDM optical network with different Optical Amplifiers for Industry 4.0
Chapter 10. Traffic signs configuration with a geo-simulation approach
Chapter 11. Emotional diagnosis for employees within the framework of Industry 4.0: a case study in Ciudad Juarez
Chapter 12. Architecture for Initial States Algorithm for Blockchain Scalability in Local OnPrem IIoT Environments
Chapter 13. Distribution route optimization using Floyd-Warshall weighted graph analysis algorithm with Google Maps integration in industry 4.0 context
Chapter 14. Feature Selection in Electroencephalographic Signals Using a Multicriteria Decision Analysis Method.

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