Abid Haleem

Digital Twin and Industry 4.0: Concepts, Frameworks, and Applications champions the use of digital twin technologies in the support of the fourth industrial revolution. These technologies, such as the Internet of Things, Artificial Intelligence, cloud computing, big data analytics, robotics, and VR, can be combined to benefit a wide variety of industries, from healthcare and manufacturing to cyber security. The opening chapter compares Industry 4.0 to previous industrial ages. The subsequent seventeen chapters discuss each respective technology, considering its classification, advantages, disadvantages, roles, applications and the potential for future developments. Alongside AI and IoT, the book looks at additive manufacturing, 5G, blockchain, sensors, holography, 3D-printing, drones, machine vision, and cyber-physical systems (CPS). Overall, Digital Twin and Industry 4.0 provides a comprehensive synthesis of theories and technologies underpinning digital twins for Industry 4.0, and interdisciplinary coverage that connects digital twins with the other technologies, offering applied case studies and examples that bridge the gap between academic research and industrial implementation.

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 Appliqu 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.