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Rubicon Publications

Publish a Book Chapter in "Emerging Engineering Technologies for Smart Manufacturing and Automation (Volume - 1)"

Call for Book Chapters: Submissions Now Open

978-1-804338-78-0

Engineering and Technology Edited Book | Edited Book on Engineering and Technology


This edited book on engineering and technology  titled "Emerging Engineering Technologies for Smart Manufacturing and Automation" mainly focuses on various topics such as industry 4.0 adoption, smart factory architecture, cyber-physical systems etc., and the rest are given below in the Scope of the book. This engineering and technology edited book will be published with ISBN numbers after following a proper double blind peer reviewed process. All the chapters of this engineering and technology edited book will be published in a proper style, so that reader can easily understand and learn.

Author can download this engineering and technology edited book titled "Emerging Engineering Technologies for Smart Manufacturing and Automation" authorship responsibility and copyright form: Click Here

Indexed In


Indexed in Crossref Indexed in Dimensions Indexed in Bowker
Invited Topics

  1. Manufacturing Execution Systems: Integration with Shop-Floor Data
  2. ERP–MES Interoperability and End-to-End Digital Thread
  3. SCADA and PLC Modernization for Industry 4.0 Readiness
  4. OPC UA, MQTT, and Standardization for Industrial Interoperability
  5. Industrial Data Historians and Real-Time Analytics Platforms
  6. Big Data Infrastructure for Operational Technology Environments
  7. Quality 4.0: Digital Quality Management Frameworks
  8. Statistical Process Control in the Era of Smart Sensors
  9. Smart Metrology and In-Line Measurement Systems
  10. Automated Traceability Using RFID, QR Codes, and Serialization
  11. Blockchain for Manufacturing Provenance and Audit Trails
  12. Cybersecurity for Smart Manufacturing: Threats and Mitigation
  13. Securing OT Networks: Segmentation, Monitoring, and Incident Response
  14. Safety Instrumented Systems and Functional Safety in Automated Plants
  15. Energy Monitoring and Optimization for Sustainable Smart Factories
  16. Carbon Accounting and ESG Reporting Using Industrial Data
  17. Circular Manufacturing and Resource-Efficient Production Models
  18. Digital Work Instructions and Connected Worker Platforms
  19. Augmented Reality for Maintenance, Assembly, and Remote Assistance
  20. Virtual Reality Training Systems for Manufacturing Workforce Development
  21. Workforce Upskilling for Automation and Digital Transformation
  22. Human Factors Engineering for Automation-Centric Workplaces
  23. Intelligent Material Handling and Smart Warehouse Automation
  24. Automated Guided Vehicles vs AMRs: Selection and Deployment
  25. Smart Packaging Lines and End-of-Line Automation Technologies
  26. Industrial AI Governance: Model Validation and Lifecycle Control
  27. Reliability Engineering in Smart Manufacturing and Predictive Systems
  28. Maintenance Strategy Optimization Using Risk-Based Approaches
  29. Process Mining for Manufacturing Performance Improvement
  30. KPI Design and Real-Time Dashboards for Shop-Floor Visibility
  31. Lean Manufacturing Meets Industry 4.0: Synergies and Implementation
  32. Value Stream Mapping Using Digital Data Streams
  33. Simulation Modeling for Factory Layout and Flow Optimization
  34. Discrete Event Simulation for Production System Design
  35. Digital Supply Chains and Manufacturing Network Resilience
  36. End-to-End Demand Forecasting Linked to Production Planning
  37. Smart Procurement and Supplier Quality Using Data Analytics
  38. Interoperability Challenges in Brownfield Digital Transformation
  39. Retrofitting Legacy Machines with IIoT Sensors and Gateways
  40. Time-Sensitive Networking for Deterministic Industrial Communication
  41. 5G Use Cases for Factory Automation and Ultra-Reliable Connectivity
  42. Cloud vs Edge Strategies for Manufacturing Data and AI
  43. Data Quality Management and Master Data in Manufacturing
  44. Semantic Data Models and Ontologies for Industrial Systems
  45. Knowledge Graphs for Manufacturing Asset Intelligence
  46. Digital Thread Across Product Lifecycle Management and Production
  47. Product–Process–Resource Modeling for Smart Manufacturing
  48. Smart Tooling and Adaptive Fixtures for High-Mix Production
  49. Adaptive Control in Machining Using Real-Time Measurements
  50. AI for Tool Wear Prediction and Process Parameter Optimization
  51. Vision-Based Robot Guidance and Flexible Automation Cells
  52. Automatic Calibration and Commissioning of Robotic Workcells
  53. Safety Standards and Compliance for Robots and Automated Lines
  54. Machine Vision Illumination, Optics, and Industrial Imaging Design
  55. Surface Defect Detection Using Deep Learning in Manufacturing
  56. Anomaly Detection for Manufacturing Data Streams and Equipment Health
  57. Industrial Time Series Analytics for Process Stability and Quality
  58. Multi-Objective Optimization for Production and Energy Efficiency
  59. Smart Factory ROI and Business Case Development
  60. Cost–Benefit Analysis and Risk Management for Automation Projects
  61. Change Management for Digital Transformation in Manufacturing
  62. Organizational Culture and Leadership for Smart Factory Adoption
  63. Case Studies of Industry 4.0 in Automotive and Discrete Manufacturing
  64. Smart Manufacturing in Process Industries: Chemicals and Pharma
  65. Food Manufacturing Automation: Hygiene, Traceability, and Quality
  66. Semiconductor Manufacturing Automation and Precision Control
  67. Additive Manufacturing Supply Chains and Distributed Production Models
  68. Standardization and Reference Architectures for Smart Manufacturing
  69. Regulatory Compliance and Data Integrity in Automated Production
  70. AI-Driven Decision Support for Plant Managers and Operators
  71. Digital Maintenance Workflows and Computerized Maintenance Systems
  72. Remote Operations and Industrial Telepresence for Smart Plants
  73. Sustainability Metrics and Waste Reduction Through Automation
  74. Smart Water Use and Utilities Optimization in Manufacturing Sites
  75. Industrial Analytics for Safety Performance and Incident Prevention
  76. Integrating Environmental Monitoring with Shop-Floor Operations
  77. Future of Autonomous Factories: Vision, Challenges, and Research Needs
  78. Roadmap for Implementing Smart Manufacturing in SMEs
  79. Benchmarking Smart Factory Performance and Maturity Progress
  80. Next-Generation Manufacturing: AI, Robotics, and Hyperautomation
Book Scope

  • Industry 4.0 Adoption
  • Smart Factory Architecture
  • Cyber-Physical Systems
  • Industrial IoT Integration
  • Digital Twin for Manufacturing
  • Predictive Maintenance Systems
  • Condition Monitoring Sensors
  • Industrial Edge Computing
  • AI in Manufacturing Analytics
  • Computer Vision Quality Inspection
  • Machine Learning for Process Control
  • Autonomous Mobile Robots (AMRs)
  • Collaborative Robots (Cobots)
  • Robot Safety Standards
  • Machine Tool Automation
  • Additive Manufacturing Processes
  • 3D Printing for Production
  • Hybrid Manufacturing Systems
  • Advanced CNC and CAM
  • Smart Scheduling and Dispatching
  • Production Line Optimization
  • Lean and Smart Manufacturing
  • Energy Management in Factories
  • Smart Metering and Monitoring
  • Industrial Cybersecurity
  • Secure OT Networks
  • PLC and SCADA Modernization
  • OPC UA and Interoperability
  • MES and ERP Integration
  • Supply Chain Digitization
  • Traceability with RFID/QR
  • Blockchain for Manufacturing Records
  • Digital Work Instructions
  • AR for Maintenance Support
  • VR for Training and Simulation
  • Human Factors in Automation
  • Workforce Upskilling Programs
  • Real-Time Data Historians
  • Big Data Platforms for OT
  • Quality 4.0 Systems
  • Statistical Process Control Digitization
  • Smart Metrology
  • Automated Material Handling
  • Warehouse Automation
  • Autonomous Inspection Drones
  • Sustainability in Manufacturing
  • Circular Manufacturing Models
  • Smart Packaging Automation
  • Maintenance Strategy Optimization
  • ROI Analysis for Industry 4.0


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Deadline

31 Jan 2026