This edited book is a compilation of scholarly articles on the latest developments in the field of additive manufacturing, discussing nature-inspired and artificial intelligence-aided additive manufactured processes for different materials including biomanufacturing, and their applications, as well as various methods to enhance the characteristics of the materials produced, the efficiency of the manufacturing process itself, as well as optimal ways to develop a product in minimum time. The book explores the advancements in additive manufacturing from prefabrication stage to final product, with real-time defect detection, control, and process efficiency improvement covered. This book will be a great resource for engineers, researchers, and academics involved in this revolutionary and unique field of manufacturing.

This book presents selected peer-reviewed papers from the International Conference on Mechanical and Energy Technologies, which was held on October 28–29, 2021, at Galgotias College of Engineering and Technology, Greater Noida, India. The book reports on the latest developments in the field of mechanical and energy technology in contributions prepared by experts from academia and industry. The broad range of topics covered includes aerodynamics and fluid mechanics, artificial intelligence, nonmaterial and nonmanufacturing technologies, rapid manufacturing technologies and prototyping, remanufacturing, renewable energies technologies, metrology and computer-aided inspection, etc. Accordingly, the book offers a valuable resource for researchers in various fields, especially mechanical and industrial engineering, and energy technologies.

This book presents selected peer-reviewed papers from the International Conference on Mechanical and Energy Technologies, which was held on October 28-29, 2021, at Galgotias College of Engineering and Technology, Greater Noida, India. The book reports on the latest developments in the field of mechanical and energy technology in contributions prepared by experts from academia and industry. The broad range of topics covered includes aerodynamics and fluid mechanics, artificial intelligence, nonmaterial and nonmanufacturing technologies, rapid manufacturing technologies and prototyping, remanufacturing, renewable energies technologies, metrology and computer-aided inspection, etc. Accordingly, the book offers a valuable resource for researchers in various fields, especially mechanical and industrial engineering, and energy technologies.

Green Supply Chain Management (GSCM) has been identified as an important research area in recent years. Green environmental issues have drawn an attention of researchers and Supply Chain (SC) practitioners at micro and macro level. Thirty six enablers to implement green supply chain management relevant to Indian manufacturing industry have been identified through extensive review of literature. Questionnaire based survey has been conducted to indicate the significance and ranking of identified enablers. With experts' opinions, identified thirty six enablers have been categorized in to eleven enablers based upon their nature. Contextual relationships among these ten enablers have been indentified to further partition the levels. Structural model of these factors has been formed using Interpretive Structural Modeling technique. Further, Classification of these enablers depending upon their driving and dependence power has also been carried out by using Matrice d'Impacts Croises-Multiplication Applique a un Classement (MICMAC) analysis. "International Environment Agreements" has been identified as most important enablers and pushing organizations to implement GSCM practices. This paper may play vital role to understand contextual relationships among the enablers to implement Green Supply Chain Management in Indian manufacturing industry.