Chapter 1 Bibliometric and Review studies related to Industr4. And sustainability in Industry 4.0
Chapter 2 Sustainable additive Manufacturing Methodologies
Chapter 3 Frameworks, tools and techniques for Collaborative and Intelligent Networks and Decision Systems
Chapter 4 Tools and techniques for Collaborative and Intelligent Networks
Chapter 5 Tools and techniques for Collaborative and Decision Systems
Chapter 6 Multi-agents
Chapter 7 Machine learning
Chapter 8 Bio-inspired models and algorithms
Chapter 9 Negotiation and group decision making approaches
chapter 10 Multi-criteria and multi-objective models
Chapter 11 Uncertainty treatment
Chapter 12 Data normalization and data fusion methods and techniques
Chapter 13 Data analytics for manufacturing systems and processes
Chapter 14 Cloud computing and big data - Learning and data mining
Chapter 15 Data visualization for the digital factory
Chapter 16 Real time machine and process monitoring, diagnostics and prognostics
Chapter 17 Real-time management
Chapter 18 Manufacturing Execution Systems
Chapter 19 IOT, IIOT, Cyber-Physical systems,
Chapter 20 Digital twin-based applications
Chapter 21 Descriptive, diagnostic, predictive and prescriptive analysis for health monitoring of manufacturing systems
Chapter 22 Descriptive, diagnostic, predictive and prescriptive analysis for health monitoring of manufacturing systemsChapter 23 Lean and Industry4.o Integration
Chapter 24 Evolutionary algorithm for Optimization
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