Intelligent manufacturing management systems : operational applications of evolutionary digital technologies in mechanical and industrial engineering /

INTRELLIGENT MANUFACTURING MANAGEMENT SYSTEMS The book explores the latest manufacturing techniques in relation to AI and evolutionary algorithms that can monitor and control the manufacturing environment. The concepts that pertain to the application of digital evolutionary technologies in the spher...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Muduli, Kamalakanta, Kommula, V. P., Yadav, Devendra K., Selvan, M. Chithirai Pon, Kandasamy, Jayakrishna
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2023.
Temas:
Production control.
Production > Contrôle.
Production control
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Part I: Smart Technologies in Manufacturing
  • Chapter 1 Smart Manufacturing Systems for Industry 4.0
  • Abbreviations
  • 1.1 Introduction
  • 1.2 Research Methodology
  • 1.3 Pillars of Smart Manufacturing
  • 1.3.1 Manufacturing Technology and Processes
  • 1.3.2 Materials
  • 1.3.3 Data
  • 1.3.4 Sustainability
  • 1.3.5 Resource Sharing and Networking
  • 1.3.6 Predictive Engineering
  • 1.3.7 Stakeholders
  • 1.3.8 Standardization
  • 1.4 Enablers and Their Applications
  • 1.4.1 Smart Design
  • 1.4.2 Smart Machining
  • 1.4.3 Smart Monitoring
  • 1.4.4 Smart Control
  • 1.4.5 Smart Scheduling
  • 1.5 Assessment of Smart Manufacturing Systems
  • 1.6 Challenges in Implementation of Smart Manufacturing Systems
  • 1.6.1 Technological Issue
  • 1.6.2 Methodological Issue
  • 1.7 Implications of the Study for Academicians and Practitioners
  • 1.8 Conclusion
  • References
  • Chapter 2 Smart Manufacturing Technologies in Industry 4.0: Challenges and Opportunities
  • Abbreviations
  • 2.1 Introduction to Smart Manufacturing
  • 2.1.1 Background of SM
  • 2.1.2 Traditional Manufacturing versus Smart Manufacturing
  • 2.1.3 Concept and Evolution of Industry 4.0
  • 2.1.4 Motivations for Research in Smart Manufacturing
  • 2.1.5 Objectives and Need of Industry 4.0
  • 2.1.6 Research Methodology
  • 2.1.7 Principles of I4.0
  • 2.1.8 Benefits/Advantages of Industry 4.0
  • 2.2 Technology Pillars of Industry 4.0
  • 2.2.1 Automation in Industry 4.0
  • 2.2.1.1 Need of Automation
  • 2.2.1.2 Components of Automation
  • 2.2.1.3 Applications of Automation
  • 2.2.2 Robots in Industry 4.0
  • 2.2.2.1 Need of Robots
  • 2.2.2.2 Advantages of Robots
  • 2.2.2.3 Applications of Robots
  • 2.2.2.4 Advances Robotics
  • 2.2.3 Additive Manufacturing (AM)
  • 2.2.3.1 Additive Manufacturing's Potential Applications
  • 2.2.4 Big Data Analytics
  • 2.2.5 Cloud Computing
  • 2.2.6 Cyber Security
  • 2.2.6.1 Cyber-Security Challenges in Industry 4.0
  • 2.2.7 Augmented Reality and Virtual Reality
  • 2.2.8 Simulation
  • 2.2.8.1 Need of Simulation in Smart Manufacturing
  • 2.2.8.2 Advantages of Simulation
  • 2.2.8.3 Simulation and Digital Twin
  • 2.2.9 Digital Twins
  • 2.2.9.1 Integration of Horizontal and Vertical Systems
  • 2.2.10 IoT and IIoT in Industry 4.0
  • 2.2.11 Artificial Intelligence in Industry 4.0
  • 2.2.12 Implications of the Study for Academicians and Practitioners
  • 2.3 Summary and Conclusions
  • 2.3.1 Benefits of Industry 4.0
  • 2.3.2 Challenges in Industry 4.0
  • 2.3.3 Future Directions
  • Acknowledgement
  • References
  • Chapter 3 IoT-Based Intelligent Manufacturing System: A Review
  • 3.1 Introduction
  • 3.2 Literature Review
  • 3.3 Research Procedure
  • 3.3.1 The Beginning and Advancement of SM/IM
  • 3.3.2 Beginning of SM/IM
  • 3.3.3 Defining SM/IM
  • 3.3.4 Potential of SM/IM
  • 3.3.5 Statistical Analysis of SM/IM
  • 3.3.6 Future Endeavour of SM/IM

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