Smart and Sustainable Manufacturing

Discover how to harness the power of Industry 4.0 with this comprehensive, case-study-driven guide that bridges the gap between advanced smart manufacturing technologies and actionable, sustainable industrial growth.

Smart manufacturing, often associated with Industry 4.0, leverages advanced technologies to revolutionize traditional manufacturing processes. Key processes involve data collection and analysis from sensors embedded in machines and equipment, enabling real-time monitoring, predictive maintenance, and process optimization. This data-driven approach fosters greater efficiency, flexibility, and agility in manufacturing operations. Smart manufacturing finds applications across various industries, including automotive, aerospace, electronics, and pharmaceuticals. This book presents key findings, solutions, and implementation perspectives on smart manufacturing and sustainable development. It addresses urgent economic, social, and industrial challenges by outlining current trends, advanced technologies, product design strategies, and practical tactics for information sharing and solution deployment within businesses. Expert insights and real-world case studies provide a comprehensive overview of smart manufacturing, including the role that technologies such as machine learning, cyber-physical systems, and the Internet of Things play in this emerging field. Ultimately, it highlights critical areas of action needed to make the world more sustainable and livable today and in the future.

Readers will find the volume:

• Covers the technologies for successful improvement in advanced processes and the application of smart manufacturing technologies;
• Introduces existing and emerging smart manufacturing technologies;
• Discusses the successful utilization of multipurpose technologies, processes, applications, future scopes, and challenges of smart manufacturing technologies.

Audience

Engineers, researchers, and academics of various disciplines, specifically mechanics, manufacturing, biomedicine, industrial engineering, electronics, and computer science.

Sandip Kunar, PhD is an Assistant Professor in the Department of Mechanical Engineering at the Aditya Engineering College, Andhra Pradesh, India. He has published more than 28 research papers in various reputed international journals, more than 24 research papers in national and international conference proceedings, 35 book chapters, and 13 books. He has also published two patents and been granted an additional two. His research interests include non-conventional machining processes, micromachining processes, advanced manufacturing technology, and industrial engineering.

Gurudas Mandal, PhD is an Assistant Professor in the Department of Metallurgical Engineering, Kazi Nazrul University, West Bengal, India. He has published 20 technical research papers in reputed international journals, eight papers in conference proceedings, and nine book chapters. His research interests focus on alloy steel and cast iron, composite materials, magnetic materials, hydrogen energy, and archaeometallurgy.

Preeti Singh Bahadur, PhD is an Associate Professor in the Applied Science Department, Amity University, Greater Noida, India, with more than 21 years of experience. She has published more than 90 research articles in various journals of repute and several book chapters, and has also presented more than 25 research papers in various national and international and conferences. Her current areas of interest include matter physics, lasers, optics, optoelectronics, and sustainable and green manufacturing.

S. Rama Sree, PhD is a Professor in the Computer Science and Engineering Department and Pro Vice-Chancellor of Academics, Aditya University, Andhra Pradesh, India. Her publications include 35 papers in international journals, 15 papers in national and international conferences, one co-authored book, and four patents. Her research interests include software cost estimation, software reusability, software reliability, software defect prediction, software maintenance, soft computing, applications of machine learning techniques, medical diagnosis, and cloud computing.

M. Sreenivasa Reddy, PhD is the Director of the Aditya Group of Educational Institutions and the Deputy Pro-Chancellor of Aditya University, Andhra Pradesh, India. He has published more than 40 research papers in various reputed international journals, national and international conference proceedings, ten book chapters, and two books. His research interests include non-conventional machining processes and manufacturing technology.