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Publish a Book Chapter in "Emerging Engineering Technologies for Smart Manufacturing and Automation (Volume - 1)"
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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.
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Indexed In
Invited Topics
Manufacturing
Execution Systems: Integration with Shop-Floor Data
ERP–MES
Interoperability and End-to-End Digital Thread
SCADA and PLC
Modernization for Industry 4.0 Readiness
OPC UA, MQTT,
and Standardization for Industrial Interoperability
Industrial Data
Historians and Real-Time Analytics Platforms
Big Data
Infrastructure for Operational Technology Environments
Quality 4.0:
Digital Quality Management Frameworks
Statistical
Process Control in the Era of Smart Sensors
Smart Metrology
and In-Line Measurement Systems
Automated
Traceability Using RFID, QR Codes, and Serialization
Blockchain for
Manufacturing Provenance and Audit Trails
Cybersecurity
for Smart Manufacturing: Threats and Mitigation
Securing OT
Networks: Segmentation, Monitoring, and Incident Response
Safety
Instrumented Systems and Functional Safety in Automated Plants
Energy
Monitoring and Optimization for Sustainable Smart Factories
Carbon
Accounting and ESG Reporting Using Industrial Data
Circular
Manufacturing and Resource-Efficient Production Models
Digital Work
Instructions and Connected Worker Platforms
Augmented
Reality for Maintenance, Assembly, and Remote Assistance
Virtual Reality
Training Systems for Manufacturing Workforce Development
Workforce
Upskilling for Automation and Digital Transformation
Human Factors
Engineering for Automation-Centric Workplaces
Intelligent
Material Handling and Smart Warehouse Automation
Automated
Guided Vehicles vs AMRs: Selection and Deployment
Smart Packaging
Lines and End-of-Line Automation Technologies
Industrial AI
Governance: Model Validation and Lifecycle Control
Reliability
Engineering in Smart Manufacturing and Predictive Systems
Maintenance
Strategy Optimization Using Risk-Based Approaches
Process Mining
for Manufacturing Performance Improvement
KPI Design and
Real-Time Dashboards for Shop-Floor Visibility
Lean
Manufacturing Meets Industry 4.0: Synergies and Implementation
Value Stream
Mapping Using Digital Data Streams
Simulation
Modeling for Factory Layout and Flow Optimization
Discrete Event
Simulation for Production System Design
Digital Supply
Chains and Manufacturing Network Resilience
End-to-End
Demand Forecasting Linked to Production Planning
Smart
Procurement and Supplier Quality Using Data Analytics
Interoperability
Challenges in Brownfield Digital Transformation
Retrofitting
Legacy Machines with IIoT Sensors and Gateways
Time-Sensitive
Networking for Deterministic Industrial Communication
5G Use Cases
for Factory Automation and Ultra-Reliable Connectivity
Cloud vs Edge
Strategies for Manufacturing Data and AI
Data Quality
Management and Master Data in Manufacturing
Semantic Data
Models and Ontologies for Industrial Systems
Knowledge
Graphs for Manufacturing Asset Intelligence
Digital Thread
Across Product Lifecycle Management and Production
Product–Process–Resource
Modeling for Smart Manufacturing
Smart Tooling
and Adaptive Fixtures for High-Mix Production
Adaptive
Control in Machining Using Real-Time Measurements
AI for Tool
Wear Prediction and Process Parameter Optimization
Vision-Based Robot
Guidance and Flexible Automation Cells
Automatic
Calibration and Commissioning of Robotic Workcells
Safety
Standards and Compliance for Robots and Automated Lines
Machine Vision
Illumination, Optics, and Industrial Imaging Design
Surface Defect
Detection Using Deep Learning in Manufacturing
Anomaly
Detection for Manufacturing Data Streams and Equipment Health
Industrial Time
Series Analytics for Process Stability and Quality
Multi-Objective
Optimization for Production and Energy Efficiency
Smart Factory
ROI and Business Case Development
Cost–Benefit
Analysis and Risk Management for Automation Projects
Change
Management for Digital Transformation in Manufacturing
Organizational
Culture and Leadership for Smart Factory Adoption
Case Studies of
Industry 4.0 in Automotive and Discrete Manufacturing
Smart
Manufacturing in Process Industries: Chemicals and Pharma
Food
Manufacturing Automation: Hygiene, Traceability, and Quality
Semiconductor
Manufacturing Automation and Precision Control
Additive Manufacturing
Supply Chains and Distributed Production Models
Standardization
and Reference Architectures for Smart Manufacturing
Regulatory
Compliance and Data Integrity in Automated Production
AI-Driven
Decision Support for Plant Managers and Operators
Digital
Maintenance Workflows and Computerized Maintenance Systems
Remote
Operations and Industrial Telepresence for Smart Plants
Sustainability
Metrics and Waste Reduction Through Automation
Smart Water Use
and Utilities Optimization in Manufacturing Sites
Industrial
Analytics for Safety Performance and Incident Prevention
Integrating
Environmental Monitoring with Shop-Floor Operations
Future of
Autonomous Factories: Vision, Challenges, and Research Needs
Roadmap for
Implementing Smart Manufacturing in SMEs
Benchmarking
Smart Factory Performance and Maturity Progress
Next-Generation Manufacturing: AI, Robotics, and
Hyperautomation