Artificial Intelligent Techniques for Wireless Communication and Networking
Artificial Intelligent Techniques for Wireless Communication and Networking

Author: R. Kanthavel

Publisher: John Wiley & Sons

Published: 2022-02-24

Total Pages: 388

ISBN-13: 1119821789

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ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field. Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments. Audience Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.

Artificial Intelligence in Supply Chain Management. Opportunities and risks of digitalisation
Artificial Intelligence in Supply Chain Management. Opportunities and risks of digitalisation

Author: Johannes Hangl

Publisher: GRIN Verlag

Published: 2022-03-09

Total Pages: 134

ISBN-13: 3346603822

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Master's Thesis from the year 2020 in the subject Business economics - Supply, Production, Logistics, , language: English, abstract: Industrialisation has greatly changed people's lives since the eighteenth century. At that time, the focus of activities shifted from the physical to the cognitive. We are now in the fourth industrial revolution. Through the development of ever better artificial systems, more and more cognitive activities are being carried out by machines. But what exactly does artificial intelligence mean? What changes has it already created in supply chain management and what is still possible in the future? What are the risks associated with advancing digitalisation? In his publication, Johannes Hangl creates a comprehensive picture of the status of current and future developments as well as trends in the use of artificial intelligence. He shows what possibilities, effects, opportunities and risks it has for supply chain management. From the contents: - AI; - Internet of Things; - Logistics; - Cyber-Physical Systems

The Art of Structuring
The Art of Structuring

Author: Katrin Bergener

Publisher: Springer

Published: 2019-01-25

Total Pages: 536

ISBN-13: 3030062341

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Structuring, or, as it is referred to in the title of this book, the art of structuring, is one of the core elements in the discipline of Information Systems. While the world is becoming increasingly complex, and a growing number of disciplines are evolving to help make it a better place, structure is what is needed in order to understand and combine the various perspectives and approaches involved. Structure is the essential component that allows us to bridge the gaps between these different worlds, and offers a medium for communication and exchange. The contributions in this book build these bridges, which are vital in order to communicate between different worlds of thought and methodology – be it between Information Systems (IS) research and practice, or between IS research and other research disciplines. They describe how structuring can be and should be done so as to foster communication and collaboration. The topics covered reflect various layers of structure that can serve as bridges: models, processes, data, organizations, and technologies. In turn, these aspects are complemented by visionary outlooks on how structure influences the field.

AI and Machine Learning Impacts in Intelligent Supply Chain
AI and Machine Learning Impacts in Intelligent Supply Chain

Author: Pandey, Binay Kumar

Publisher: IGI Global

Published: 2024-01-29

Total Pages: 335

ISBN-13:

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Businesses are facing an unprecedented challenge - the urgent need to adapt and thrive in a world where intelligent factories and supply chains are the new norm. The digital transformation of supply chains is essential for staying competitive, but it is a complex journey fraught with uncertainties. How can organizations harness the power of emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML) to increase profitability, cut supply chain costs, elevate customer service, and optimize their networks? The answers to these questions are crucial for business survival and success. AI and Machine Learning Impacts in Intelligent Supply Chain is a groundbreaking book that offers a comprehensive solution to the challenges posed by the Industry 4.0 revolution. This book is your indispensable guide to navigating the intricate world of supply chain digital transformation using innovative technologies. It provides real-world examples and insights that illustrate how AI and ML are the keys to solving complex supply chain problems, from inventory management to route optimization and beyond. Whether you are an academic scholar seeking to delve into the impact of AI and ML on supply chain management or a business leader striving to gain a competitive edge, this book is tailored to meet your needs.

The Oxford Handbook of Supply Chain Management
The Oxford Handbook of Supply Chain Management

Author: Thomas Y. Choi

Publisher: Oxford University Press

Published: 2021-08-30

Total Pages: 815

ISBN-13: 019006675X

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Supply chain management contends with structures and processes for delivering goods and services to customers. It addresses the core functions of connected businesses to meet downstream demand. This innovative volume provides an authoritative and timely guide to the overarching issues that are ubiquitous throughout the supply chain. In particular, it addresses emerging issues that are applicable across supply chains--such as data science, financial flows, human capital, internet technologies, risk management, cyber security, and supply networks. With chapters from an international roster of leading scholars in the field, the Oxford Handbook of Supply Chain Management is a necessary resource for all students and researchers of the field as well as for forward-thinking practitioners.

AI in Supply Chain and Logistics
AI in Supply Chain and Logistics

Author: Prakash Kumar Udupi

Publisher: Independently Published

Published: 2023-11-12

Total Pages: 0

ISBN-13:

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The symbiotic relationship between artificial Intelligence, supply chain and logistics transformed the way we are doing business into newer directions. The integration of advanced technologies, data-driven approaches, and machine learning algorithms enabled a new era of business transformations with efficiency, agility and competitiveness within the global marketplace. This book helps the reader to explore the ever evolving landscape of AI within the supply chain and logistics domain. The purpose is to untangle the multi-dimensional ways, in which artificial intelligence revolutionizes these supply chain and logistic domains. This helps the readers to understand traditional methodologies and enables them to navigate complex organizational challenges pertaining to artificial intelligence, supply chain and logistics. Supply chain and logistics are the lifeblood of global commerce, that connects interconnecting suppliers, manufacturers, distributors, retailers, and end consumers. The dynamic nature of these interconnected networks necessitates adaptability, responsiveness, and precision driven by AI unwinds the newer ways of enhancing supply chain and logistic businesses. From predictive analytics for optimizing inventory management to autonomous vehicles for streamlining transportation, AI is catalyzing a paradigm shift in how businesses strategize, operate, and deliver value. This book covers a wide spectrum of topics including but not limited to predictive demand forecasting, route optimization, warehouse automation, risk management, and the ethical considerations surrounding AI adoption in these domains. As the AI and supply chain landscape continually evolves and becomes challengeable, this book aims to be a guiding light for professionals, enthusiasts and researchers, who would like to further explore the transformative potential of AI within supply chain and logistics. Further, this book serves as a compass to navigate that arise due to integration of AI into various critical sectors of supply chain and logistics. We hope this book will provide illuminating path towards harnessing the true potential of AI in shaping a more efficient, resilient, and sustainable future for supply chain and logistics.

Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management
Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management

Author: Dinesh K. Sharma

Publisher: Springer Nature

Published: 2022-11-08

Total Pages: 293

ISBN-13: 9811963371

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This book considers new analytics and AI approaches in the areas of inventory control, logistics, and supply chain management. It provides valuable insights for the retailers and managers to improve business operations and make more realistic and better decisions. It also offers a number of smartly designed strategies related to inventory control and supply chain management for the optimal ordering and delivery policies. The book further uses detailed models and AI computing approaches for demand forecasting to planning optimization and digital execution tracking. One of its key features is use of real-life examples, case studies, practical models to ensure adoption of new solutions, data analytics, and AI-lead automation methodologies are included.The book can be utilized by retailers and managers to improve business operations and make more accurate and realistic decisions. The AI-based solution, agnostic assessment, and strategy will support the companies for better alignment and inventory control and capabilities to create a strategic road map for supply chain and logistics. The book is also useful for postgraduate students, researchers, and corporate executives. It addresses novel solutions for inventory to real-world supply chain and logistics that retailers, practitioners, educators, and scholars will find useful. It provides the theoretical and applicable subject matters for the senior undergraduate and graduate students, researchers, practitioners, and professionals in the area of artificial intelligent computing and its applications in inventory and supply chain management, inventory control, and logistics.

Utilization of AI Technology in Supply Chain Management
Utilization of AI Technology in Supply Chain Management

Author: Pandey, Digvijay

Publisher: IGI Global

Published: 2024-03-01

Total Pages: 358

ISBN-13:

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The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management. Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively.