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Full Description
In an era where industries are tasked with addressing pressing global challenges, ranging from climate change and resource depletion to societal well-being, the fusion of AI and IoT emerges as a powerful catalyst for positive change. The synergistic collaboration between intelligent algorithms and interconnected devices not only enhances operational efficiency but also empowers industries to make informed decisions that align with ecological and social considerations.
AIoT Driven Sustainable Manufacturing and Operational Initiatives: A Smart Eco-Friendly Manufacturing System offers a comprehensive exploration of the integration of AI and IoT in the context of sustainable industry, covering foundational principles, practical applications, and real-world case studies. It provides practical insights into how AIoT solutions are currently being implemented, offering tangible examples and success stories that readers can relate to and draw inspiration from. Emphasis is placed on the significance of data-driven decision-making, showcasing how AIoT enables industries to harness the power of data for optimizing processes, reducing waste, and achieving sustainability goals. The book includes real-world case studies and examples illustrating the practical impact of AIoT, making complex concepts accessible and demonstrating the transformative potential of these technologies in actual industrial settings.
Tailored to various industries, the book ensures relevance for a diverse audience, including manufacturing, energy, and environmental sectors, making it a versatile resource for professionals across different fields.
Contents
Chapter 1: Sustainability In Manufacturing: The Role of IoT and IIoT Solutions
Chapter 2: AIoT Application in Smart Eco-Friendly Manufacturing System
Chapter 3: AIoT-Adopted Sustainable Smart Eco-Friendly Home Systems
Chapter 4: Strategies For Sustainable Manufacturing with AIoT-Integrated B-Spline CFD Simulations
Chapter 5: IoT Enhanced Statistical Methods for Process Optimization in Biotechnology and Pharmaceutical Manufacturing
Chapter 6: AIoT Based Sustainable Engineering and Technology for Improvement in Manufacturing Efficiency
Chapter 7: Ai And IoT-Based CNC Optimization for Sustainable Production
Chapter 8: Recent Advancements In AIoT For Predicting Mechanical Fracture And Thermal Properties Of Glass Fiber Reinforced Polymer Composites
Chapter 9: Elevating Self-Service Business Intelligence Through Ai And IoT In Sub-Saharan Africa: Insights From Sustainable Manufacturing Companies
Chapter 10: AIoT Driven Robotics System In Smart Manufacturing Sectors
Chapter 11: Intelligent Process Automation Through AI In Manufacturing Sector
Chapter 12: Lean Principles In Manufacturing For Resource Efficiency
Chapter 13: Improvement Of Titanium Alloy (Ti-15-3) Wear Resistance And Hardness By Solution Treatment And Aging (Sta) To Pioneer Sustainable And Environmentally Friendly Manufacturing
