Manufacturing Process Optimization for Sustainable Development Using Digital Twin Applications

1. Auflage 2026
ISBN: 978-1-032-82229-7
Verlag: Taylor & Francis Ltd

Buch, Englisch, 186 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 453 g

Reihe: Manufacturing Design and Technology

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.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Davim, J. Paulo

Tamang, Santosh Kumar

Kumar, Vishnu Vijay

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Technik Allgemein Industrial Engineering

Inhaltsverzeichnis

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

Über Autor(innen)

Santosh Kumar Tamang is an assistant professor in the Department of Mechanical Engineering at the North Eastern Regional Institute of Science and Technology (NERIST), Arunachal Pradesh, India. He holds a Ph.D. in mechanical engineering from NERIST and has authored more than 90 research papers in reputed SCI and Scopus-indexed journals and conferences. His research focuses on integrating artificial intelligence with manufacturing process optimization, additive manufacturing and sustainable materials development for Industry 4.0 applications.

Vishnu Vijay Kumar is a research staff at New York University, Abu Dhabi, and a visiting researcher at KMUTNB, Thailand, and UGM, Indonesia. He completed a joint doctorate from the Indian Institute of Technology Madras and the National University of Singapore, with research interests encompassing artificial intelligence, additive manufacturing, sustainability, and composites. His research has been published in reputable journals with over 700 citations, and he has conducted projects at prestigious institutions, including ISRO and Bharat Petroleum Corporation Limited.

J. Paulo Davim is a professor at the University of Aveiro, Portugal, and holds honorary professorships at several universities in China, India, and Spain. He received his Ph.D., M.Sc., and BE (Mechanical Engineering degree) from the University of Porto, with additional qualifications, including an aggregate title from the University of Coimbra and D.Sc. from London Metropolitan University. With over 35 years of experience in manufacturing and materials engineering, he serves as the editor-in-chief of several international journals and is an editorial board member of 30 international journals and acts as a reviewer for more than 200. He was listed in World´s Top 2% Scientists by Stanford University study 2025 (Ranked at 1 National Ranking/3238 World Ranking career). Also, he was listed in Research.com ranking 2025 (Ranked at 1 National Ranking/82 World Ranking in field of Mechanical and Aerospace Engineering). 2025—Research.