The Internet of Things (IoT) is one of the most disruptive technologies, enabling ubiquitous and pervasive computing scenarios. IoT is based on intelligent self-configuring nodes (also known as things) interconnected in a dynamic and global collaborative network infrastructure. In contrast, Cloud computing has virtually unlimited capabilities in terms of storage and processing power, speed, and is a more mature technology. Due to intrinsic nature of Cloud computing and IoT, they both complement each other. Recently, we are witnessing an increasing trend in exploiting use of both Cloud and IoT together. Salient Features: * Presents latest developments in Cloud computing * Presents latest developments in Internet of Things * Establishes links between interdisciplinary areas where IoT and Cloud both can play a role for improvement of process * Intends to provide an insight into non-IT related models for improvement of lives * Bridges the gap between obsolete literature and current literature This book is aimed primarily at advanced undergraduates and graduates working with IoT and cloud computing. Researchers, academicians, policy makers, government officials, NGOs, and industry research professionals would also find the book useful.

This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.

This book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.

This book explores the practical implementation of an advanced after-sales management framework devoted to warranty management. The framework is intended for companies producing either standardized or customized products and such a management tool will facilitate organizational improvement and support innovative decision making processes for technical assistance in after-sales services.

After sales Service of Engineering Industrial Assets comprises a proposal for a warranty management framework, with an account of the different methods that can be used to improve decision making in the different stages of the after-sales service management process, and strategies for strengthening the structure and foundations of the framework. A review of the fundamental issues and current research topics in warranty management and after sales services is also provided, which is exemplified by a case study. This book is intended for postgraduates, researchers and engineers who are interested in after sales management, assets engineering and warranty management."

This book gathers selected peer-reviewed papers from the 16th World Congress on Engineering Asset Management (WCEAM), held in Seville from 5-7 October 2022. This book covers a wide range of topics in Engineering Asset Management, including: Asset management and decision support system Industry 4.0 tools and its impact on asset management Monitoring, diagnostics and prognostics for smart maintenance Asset life cycle management Asset management in the industrial sector Human dimensions and asset management performance Infrastructure Asset management Asset condition, risk, resilience, and vulnerability assessments Asset operations and maintenance strategies Reliability and resilience engineering Applications of international and local guidelines and standards The breadth and depth of this state-of-the-art, comprehensive proceedings make it an excellent resource for asset management practitioners, researchers and academics, as well as undergraduate and postgraduate students.

In a society that praises and promotes technological advancement, it becomes increasingly essential to review the effects of such rapid technological growth. New high-tech advances need to be examined to determine what they mean to science, society, and industry along with the benefits and challenges they present. The Handbook of Research on Industrial Advancement in Scientific Knowledge addresses the intersection of technology and science where engineering considerations, mathematical approaches, and management tools provide a better understanding and awareness of Industry 4.0, while also taking into account the impact on current society. This publication identifies methodologies and applications related to decision making, risk and uncertainty, and design and development not only on scientific and industrial topics but also on social and ethical matters. It is designed for engineers, entrepreneurs, academicians, researchers, managers, and students.