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, 200 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 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
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Chapter 1 Role of Digital Twins in Industry 4.0 and its Significance for Sustainable Development
Chapter 2 DigiTwin Technologies for Manufacturing Optimization using sensor integration and data acquisition
Chapter 3 Predictive Maintenance and Lifecycle Management and Supply Chain Optimization
Chapter 4 Optimization of Manufacturing Processes Using DigiTwin
Chapter 5 Carbon Footprint Reduction Strategies using DigiTwin Integration strategy
Chapter 6 Challenges in Implementing DigiTwin Solutions in Manufacturing with case studies
Chapter 7 Life Cycle Assessment (LCA) Integration and Environmental Impact Modeling
Chapter 8 Predicting the Future of Sustainable Manufacturing with DigiTwin
Chapter 9 Synergy between DigiTwin and Cyber Physical System in Manufacturing
Chapter 10 Case Studies in Blockchain Integration considering DigiTwin manufacturing achieve sustainability

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 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 seven hundred 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 PhD, MSc, and Mechanical Engineering degree from the University of Porto, with additional qualifications including an Aggregate title from the University of Coimbra and DSc from London Metropolitan University. With over 35 years of experience in manufacturing and materials engineering, he serves as Editor-in-Chief of several international journals and is an Editorial Board member of 30 international