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Full Description
Manufacturing Process Optimization for Sustainable Development Using Digital Twin Applications explores the potential of digital twin applications in the manufacturing sector, with a primary focus on achieving sustainable development.
The edited volume provides a comprehensive overview of the interdisciplinary nature of digital twin applications, considering how collaboration between engineering, data science, environmental science, and other fields can lead to holistic and impactful solutions. The content addresses the challenges and potential hurdles in implementing digital twin solutions in manufacturing while also proposing future directions for research and development in this rapidly evolving field, further reviewing how digital twin technologies can be effectively applied to enhance efficiency, reduce waste, and improve overall productivity in manufacturing processes. The role of digital twins in contributing to sustainable development goals is also analyzed, including considerations such as resource conservation, energy efficiency, and the reduction of environmental impact throughout the manufacturing lifecycle. Case studies and real-world examples are included to illustrate successful implementations.
The publication caters to a diverse audience of professionals, researchers, and academics from engineering disciplines, including mechanical engineers, industrial engineers, electrical and electronic engineers, data scientists and AI engineers, and manufacturing and operations managers. The comprehensive approach makes it an essential resource for anyone seeking to understand the intersection of digital twin technology and sustainable manufacturing practices.
Contents
Chapter 1 Role of Digital Twins in Industry 4.0 and Its Significance for Sustainable Development Chapter 2 Integration of Digital TwinTechnologies into Intelligent Manufacturing Systems for Enhancing Sustainability in Industry 4.0 Chapter 3 Predictive Maintenance, Lifecycle Management, and Supply Chain Optimization Chapter 4 Optimization of Manufacturing Processes Using Digital Twin/Cyber-Physical System Chapter 5 Carbon Footprint Reduction Strategies Using Digital TwinIntegration strategy Chapter 6 Challenges in Implementing Digital Twin Solutions in Manufacturing: Evidence, Case Studies, and a Practical Roadmap Chapter 7 Life Cycle Assessment (LCA) Integration and Environmental Impact Modeling of Digital Twin Chapter 8 Predicting the Future of Sustainable Manufacturing with Digital Twin Systems Chapter 9 Synergy between Digital Twin and Cyber-Physical System in Manufacturing Chapter 10 Digital Twin-CPS Synergy in Manufacturing: A Pathway to Intelligent and Sustainable Industry 5.0
