Ai And Machine Learning Impacts In Intelligent Supply Chain
Download Ai And Machine Learning Impacts In Intelligent Supply Chain full books in PDF, epub, and Kindle. Read online free Ai And Machine Learning Impacts In Intelligent Supply Chain ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: Pandey, Binay Kumar |
Publisher |
: IGI Global |
Total Pages |
: 335 |
Release |
: 2024-01-29 |
ISBN-10 |
: 9798369313480 |
ISBN-13 |
: |
Rating |
: 4/5 (80 Downloads) |
Synopsis AI and Machine Learning Impacts in Intelligent Supply Chain by : Pandey, Binay Kumar
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.
Author |
: R. Kanthavel |
Publisher |
: John Wiley & Sons |
Total Pages |
: 388 |
Release |
: 2022-02-24 |
ISBN-10 |
: 9781119821786 |
ISBN-13 |
: 1119821789 |
Rating |
: 4/5 (86 Downloads) |
Synopsis Artificial Intelligent Techniques for Wireless Communication and Networking by : R. Kanthavel
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.
Author |
: Pandey, Digvijay |
Publisher |
: IGI Global |
Total Pages |
: 358 |
Release |
: 2024-03-01 |
ISBN-10 |
: 9798369335949 |
ISBN-13 |
: |
Rating |
: 4/5 (49 Downloads) |
Synopsis Utilization of AI Technology in Supply Chain Management by : Pandey, Digvijay
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.
Author |
: Katrin Bergener |
Publisher |
: Springer |
Total Pages |
: 535 |
Release |
: 2019-01-25 |
ISBN-10 |
: 9783030062347 |
ISBN-13 |
: 3030062341 |
Rating |
: 4/5 (47 Downloads) |
Synopsis The Art of Structuring by : Katrin Bergener
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.
Author |
: Kumaresan Perumal |
Publisher |
: Springer Nature |
Total Pages |
: 208 |
Release |
: 2022-04-06 |
ISBN-10 |
: 9789811902406 |
ISBN-13 |
: 9811902402 |
Rating |
: 4/5 (06 Downloads) |
Synopsis Innovative Supply Chain Management via Digitalization and Artificial Intelligence by : Kumaresan Perumal
This book focuses on the impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in industry 4.0. The chapters illustrate the AI and ML models for all functional areas of operations in SCM. The book also includes examples using ML models like handling supply-to-demand imbalances, triggering automated responses, and reinforcing customer relationships. It describes the evolution of blockchain technology coupled with the ability to automate business logic for the transparency of goods, infrastructure, products, and licenses in software. The book also includes case studies that provide a problem statement and industry overcome by applying ML and AI technologies. This book is suitable for undergraduates, postgraduates, industrial professionals, business executives, entrepreneurs, and freelancers to encourage practical learning on AI and ML algorithms in SCM 4.0. Additionally, this book will provide computer science and information system professionals with the latest technologies embedded in the corporate world.
Author |
: Mahesh Chand |
Publisher |
: CRC Press |
Total Pages |
: 319 |
Release |
: 2023-11-22 |
ISBN-10 |
: 9781003802396 |
ISBN-13 |
: 1003802397 |
Rating |
: 4/5 (96 Downloads) |
Synopsis Data-Driven Technologies and Artificial Intelligence in Supply Chain by : Mahesh Chand
This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing. "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies. " Emphasizes the impact of a data-driven supply chain on quality management. "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing. " Highlights the barriers to implementing artificial intelligence in small and medium enterprises. Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks. The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.
Author |
: Thomas Y. Choi |
Publisher |
: Oxford University Press |
Total Pages |
: 815 |
Release |
: 2021-08-30 |
ISBN-10 |
: 9780190066758 |
ISBN-13 |
: 019006675X |
Rating |
: 4/5 (58 Downloads) |
Synopsis The Oxford Handbook of Supply Chain Management by : Thomas Y. Choi
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.
Author |
: Tawfik Masrour |
Publisher |
: Springer Nature |
Total Pages |
: 318 |
Release |
: 2023-10-16 |
ISBN-10 |
: 9783031435249 |
ISBN-13 |
: 3031435249 |
Rating |
: 4/5 (49 Downloads) |
Synopsis Artificial Intelligence and Industrial Applications by : Tawfik Masrour
Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.
Author |
: Veena Grover |
Publisher |
: Springer Nature |
Total Pages |
: 558 |
Release |
: |
ISBN-10 |
: 9798868803154 |
ISBN-13 |
: |
Rating |
: 4/5 (54 Downloads) |
Synopsis Blockchain, IoT, and AI Technologies for Supply Chain Management by : Veena Grover
Author |
: Om Prakash Jena |
Publisher |
: CRC Press |
Total Pages |
: 206 |
Release |
: 2022-06-22 |
ISBN-10 |
: 9781000600278 |
ISBN-13 |
: 1000600270 |
Rating |
: 4/5 (78 Downloads) |
Synopsis Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing by : Om Prakash Jena
This book looks at industry change patterns and innovations (such as artificial intelligence, machine learning, big data analysis, and blockchain support and efficiency technology) that are speeding up industrial transformation, industrial infrastructure, biodiversity, and productivity. This book focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing. It also offers insights into manufacturing, logistics, and supply chain, where systems have undergone an industrial transformation. It discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure. It goes on to cover the effects that the Fourth Industrial Revolution has on industrial infrastructures and looks at the current industry change patterns and innovations that are accelerating industrial transformation activities. Researchers, scholars, and students from different countries will appreciate this book for its real-world applications and knowledge acquisition. This book targets manufacturers, industry owners, product developers, scientists, logistics, and supply chain engineers. Focuses on real-world industrial applications and case studies to provide for a wider knowledge of intelligent manufacturing Offers insights into manufacturing, logistics, and supply chain where systems have undergone an industrial transformation Discusses current research of machine learning along with blockchain techniques that can fill the gap between research and industrial exposure Covers the effects that the 4th Industrial Revolution has on industrial infrastructures Looks at industry change patterns and innovations that are speeding up industrial transformation activities