In an era of dynamic technological evolution, organizations grapple with escalating threats and operational vulnerabilities due to the inadequacies of traditional security approaches. The pressing need for robust controls and comprehensive visibility in the face of these challenges is at the core of Ensuring Security and End-to-End Visibility Through Blockchain and Digital Twins. This groundbreaking book explores the urgent synergy between blockchain and digital twins, presenting innovative solutions to fortify security and revolutionize end-to-end visibility across diverse industries. Within this rapidly changing digital landscape, Blockchain emerges as a beacon of security, with its decentralized and tamper-resistant architecture. Paired seamlessly with digital twins—virtual replicas of physical entities or processes—these technologies create a paradigm shift in safeguarding data, assets, and workflows. The integration establishes a transparent, secure, and interconnected environment, facilitating seamless information exchange and instilling trust throughout the system.

An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin—an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical system’s behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AI’s capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.

As businesses worldwide strive to embrace sustainability in their operations, they often need help with a significant challenge: the inadequacy of traditional Corporate Social Responsibility (CSR) practices in meeting modern sustainability needs. Despite increasing regulatory pressure and societal expectations, many organizations need help implementing effective Environmental, Social, and Governance (ESG) strategies aligning with their core business goals. This gap between intent and implementation highlights the urgent need for a comprehensive and practical guide to navigating the complexities of sustainable business practices. ESG Frameworks for Sustainable Business Practices solve this pressing challenge by offering a systematic and insightful analysis of global ESG frameworks. Synthesizing current research and industry best practices provides a clear roadmap for organizations looking to integrate sustainability into their core strategies. Through an in-depth exploration of topics such as ESG disclosure, sustainable investments, and the role of regulations in ESG practices, this book equips readers with the knowledge and tools needed to drive meaningful change within their organizations.

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The book uniquely explores the fundamentals of blockchain and digital twin technologies and their uses in smart cities. In the previous decade, many governments explored artificial intelligence, digital twin, and blockchain, and their roles in smart cities. This book discusses the convergence of two transformative technologies, digital twin and blockchain, to address urban challenges and propel the development of smarter, more sustainable cities. This convergence empowers cities to create real-time replicas of urban environments (digital twins) and secure, transparent data management (blockchain) to improve city planning, management, and civic services. In this application, the concept of a digital twin involves creating a virtual, data-driven replica of a city or specific urban systems, such as transportation, energy, or infrastructure. This digital twin mirrors the real world, gathering data from various sensors, IoT devices, and other sources to provide a holistic view of the city’s operations. Furthermore, blockchain technology offers a decentralized and tamper-resistant ledger for securely storing and managing data. In the context of smart cities, blockchain can ensure data integrity, privacy, and transparency, enabling trust and collaboration among various stakeholders. This book covers many important topics, including real-time city modeling; data security and the trustworthy storage of sensitive urban data; transparent governance to facilitate accountable governance and decision-making processes in smart cities; improved city services; disaster resilience (by providing insights into vulnerabilities and efficient resource allocation during crises); sustainable urban planning that optimizes resource allocation, reduces energy consumption, and minimizes environmental impact, which fosters sustainable development; citizen engagement; and much more. This book will not only provide information about more efficient, resilient, and sustainable urban environments, but it also empowers citizens to be active participants in shaping the future of their cities. By converging these technologies, cities can overcome existing challenges, encourage innovation, and create more livable, connected, and responsive urban spaces. Audience This book has a wide audience in computer science, artificial intelligence, and information technology as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and government/city policymakers working on smart cities, the circular economy, clean tech investors, urban decision-makers, and environmental professionals.

The Routledge Handbook of Urban Logistics offers a state-of-the-art, comprehensive overview of the discipline of urban and city logistics. The COVID-19 pandemic and the rise in internet shopping in particular have placed new demands on urban logistics which require innovative technological and policy responses. Similarly, the necessity for sustainable urban logistics offers both a challenge and opportunity for development and seeks to address traffic congestion, local air quality, traffic-related degradation, the use of energy, safety aspects and noise. Featuring contributions from world-leading, international scholars, the chapters examine concepts, issues and ideas across five topic areas that reflect the increasingly diverse nature of current research and thinking in urban logistics: transport modes, urban logistics sectors, technical analysis, policy, and sustainability. Each chapter provides an overview of current knowledge, identifies issues and discusses the relevant debates in urban logistics and the future research agenda. This handbook offers a single repository on the current state of knowledge, written from a practical perspective, utilising theory that is applied and developed using real-work examples. It is an essential reference for researchers, academics and students working in all areas of urban logistics, from policy and planning to technology and sustainability, in addition to industry practitioners looking to develop their professional knowledge.

Big data from wireless sensor networks in the smart city can be integrated to accommodate the exchanging of real-time data between citizens, governments, and organisations. Blockchain technology can provide high security for large communications and transactions between many stakeholders in smart cities. Digital twins provide the use of physical models/wireless sensor networks/historical data of city operation to integrate big information under multi-discipline, multi-physical quantities, multi-scale, and multi-probability conditions. Digital Twin and Blockchain for Sensor Networks in Smart Cities explores how digital twins and blockchain can be used in the functioning of the smart city. The book is divided into five sections. Section 1 focuses on the fundamental concepts of blockchain and digital twin for sensor networks in the smart cities, while section 2 describes their promising applications for managing the regular operations and services. Sections 3 and 4 deal with their applications for safe and healthy cities, respectively. The last section covers other promising applications and future perspectives of blockchain and digital twin in the urban environment.• Describes the fundamentals of blockchain and digital twin• Explains how intelligent sensor networks can be used in the smart city• Explores how blockchain and digital twin work with smart sensor networks• Discusses how future technologies can benefit the healthcare of everyday lives

Over the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs. As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0. This book aims to provide an in-depth understanding and reference of DTs to technical personnel in the field, students and scholars of related majors, and general readers interested in intelligent industrial manufacturing.

The Blockchain Technology for Secure and Smart Applications across Industry Verticals, Volume 121, presents the latest information on a type of distributed ledger used for maintaining a permanent and tamper-proof record of transactional data. The book presents a novel compendium of existing and budding Blockchain technologies for various smart applications. Chapters in this new release include the Basics of Blockchain, The Blockchain History, Architecture of Blockchain, Core components of Blockchain, Blockchain 2.0: Smart Contracts, Empowering Digital Twins with Blockchain, Industrial Use Cases at the Cusp of the IoT and Blockchain Paradigms, Blockchain Components and Concepts, Digital Signatures, Accumulators, Financial Systems, and more. This book is a unique effort to illuminate various techniques to represent, improve and authorize multi-institutional and multidisciplinary research in a different type of smart applications, like the financial system, smart grid, transportation system, etc. Readers in identity-privacy, traceability, immutability, transparency, auditability, and security will find it to be a valuable resource. Provides a snapshot of the state of current research based on the decentralized system that provides security and privacy to the smart applications Chapters cover the fundamental concepts of the newly emerged Blockchain technology along with, the various smart applications Helps to elucidate new trading platforms that provides business benefits like efficiency, auditability, traceability, transparency, feedback, and security