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. 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.