Overview

The shift toward sustainable manufacturing is vital for addressing the pressing environmental challenges of the 21st century. By integrating sustainability principles, manufacturing processes can minimize resource consumption, reduce greenhouse gas emissions, and extend product lifecycles. This approach emphasizes designing for regeneration, using eco-friendly materials, and adopting advanced digital technologies like artificial intelligence (AI), Internet of Things (IoT), and blockchain to optimize production and promote environmental stewardship. Sustainable manufacturing not only mitigates ecological harm but also fosters innovation, enhances competitiveness, and supports long-term economic and societal resilience. Adopting such practices is essential for transitioning to a more responsible and sustainable global economy. Using Computational Intelligence for Sustainable Manufacturing of Advanced Materials highlights how the application of computational intelligence techniques can promote resource and environmental sustainability in manufacturing systems and operational practices. It further examines how sustainable practices and advanced technologies in materials manufacturing can revolutionize production processes while minimizing environmental impact and promoting resource efficiency. Covering topics such as energy storage, nanoparticles, and biomaterials, this book is an excellent resource for computer scientists, business professionals, manufacturers, environmentalists, researchers, professionals, scholars, academicians, and more.

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Kamalakanta Muduli has about 18 years teaching/research experience (Aug 2000-till July 2010 and 1st August 2014 till date) as Lecturer, Senior lecturer, Assistant Professor and Associate Professor in Degree level Engineering colleges/Universities in, Subjects taught include Optimization Engineering, Production & Operation Management, Quality Control and Reliability, Industrial Engineering and Management, Manufacturing Technology, Maintenance Engineering, Engineering Mechanics Published 80 research papers in reputed indexed journals and presented papers in 34 national and international conferences Dr. Steve Ales currently serves as a senior faculty member within the School of Mechanical Engineering at Papua New Guinea University of Technology. Dr Steve obtained his Master of Engineering (M.E.) specializing in Mechanical Manufacture & Automation at Shenyang Aerospace University in China in 2015 and a Ph.D. degree in Mechanical Engineering from Auckland University of Technology, New Zealand in 2021. He has over 15 years of teaching, research and industry experience. He has published several research papers in international journals.(Orcid ID: 0000-0002-2776-4866)

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