Our Quick Notes On Use Of Artificial Intelligence Ai In Supply Chain Management

Author : Vivek Sood
Publisher : Global Supply Chain Group
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Download or read book Our Quick Notes on Use of Artificial Intelligence (AI) in Supply Chain Management written by Vivek Sood and published by Global Supply Chain Group. This book was released on 2020-11-18 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of our new "Quick Notes" series - this report answers your most pertinent questions of the topic. Do not be deceived by their short nature - these notes are only 22 pages or so. But these are 22 pages of potent dynamite that will supercharge your thinking in the right direction. Included are quick notes and some of the frequently asked questions (FAQs) on supply chain finance that we have encountered in our workshops, seminars, and other forums. Here are some of the topics and questions covered in these quick notes: What is Supply chain AI and why everyone is moving towards it? What is the advantage of integrating AI in a supply chain environment? What are the current applications of AI in SCM? What are the current trends in the field of AI which aid improvements in SCM? Which are the experimental models in AI meant for supply chain management? What is Supply chain AI and why everyone is moving towards it? What is the advantage of integrating AI in a supply chain environment? What are the current applications of AI in SCM? What are the current trends in the field of AI which aid improvements in SCM? Which are the experimental models in AI meant for supply chain management? What are the fully developed AI models that are currently used in the business environment? Out of the four stages of supply chain analytics - descriptive, diagnostic, predictive and prescriptive - which one has the most potential application of supply chain AI? How does the predictive nature of AI algorithms help in forecasting? What is the current cost reduction that AI brings into SCM? In this current ongoing COVID -19 crisis can we use AI to reduce the decision making time and to process huge amount of data. If yes how? What are the requirements for a company to incorporate the use of AI in its supply chain? What are the future trends that we need to look in AI? Which are the industries that can gain more from an AI-powered SCM? What is the role of the current ERP and DSS tools when deploying AI?

Author : Thomas Y. Choi
Publisher : Oxford University Press
ISBN 13 : 019006675X
Total Pages : 815 pages
Book Rating : 4.58/5 ( download)

DOWNLOAD NOW!

Download or read book The Oxford Handbook of Supply Chain Management written by Thomas Y. Choi and published by Oxford University Press. This book was released on 2021-08-30 with total page 815 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Calvin Klein
Publisher : Cuvillier Verlag
ISBN 13 : 3736968817
Total Pages : 95 pages
Book Rating : 4.13/5 ( download)

DOWNLOAD NOW!

Download or read book Artificial Intelligence in Supply Chain Management written by Calvin Klein and published by Cuvillier Verlag. This book was released on 2023-10-06 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: As Artificial Intelligence (AI) continues to revolutionize industries worldwide, its omnipresence becomes increasingly evident in Supply Chain Management (SCM). This Consortium Study, conducted by the Institute of Supply Chain Management (ISCMHSG) at the University of St.Gallen and its promotional association, examines the integration of AI in SCM and aims to address the gap between expectations and reality. The study provides a knowledge foundation to assist supply chain managers in developingrealistic expectations of this technology. Considering the rapid advancement of AI technologies and their potential impact on SCM, this study explores the current state of AI in SCM and analyzes the disparity between expectations and reality. Through a comprehensive market analysis of AI solutions offered in SCM, opportunities for improvement are identified. The study focuses on aligning expectations and reality by fostering a better understanding of the capabilities of AI in SCM. Additionally, the study investigates obstacles to successful AI integration, including data quality, integration challenges, and unrealistic expectations of potential benefits. Through the collaborative efforts of the participating organizations, this Consortium Study offers a collective understanding of the current state of AI in SCM. It serves as a valuable resource for industry professionals, and academia facilitating the successful integration of AI and driving operational excellence in SCM.

Author : Priyanka Chawla
Publisher : CRC Press
ISBN 13 : 1000855074
Total Pages : 374 pages
Book Rating : 4.74/5 ( download)

DOWNLOAD NOW!

Download or read book Blockchain, IoT, and AI Technologies for Supply Chain Management written by Priyanka Chawla and published by CRC Press. This book was released on 2023-05-05 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Supply chain management, often known as SCM, refers to the extensive variety of operations that are required to plan, monitor, and coordinate the movement of a product from its raw materials to its finished state in the most time- and money-efficient manner possible. How the supply chain is managed has an impact not only on the quality of the product and the service but also on the distribution, costs, and overall customer experience. Supply chain management is a massive undertaking that needs firms to reevaluate the method in which they operate their supply chains. Blockchain, IoT, and AI Technologies for Supply Chain Management discusses the problems and difficulties that the facilitators of the supply chain confront, in addition to the possible solutions to such problems and difficulties. This book will be the only one of its kind to address the impact of COVID-19 on supply chain systems involving different stakeholders such as producers, dealers, and manufacturers and will provide a foundation for future research opportunities that will allow for the unrestricted expansion and prosperity of business. It will serve as a foundation for academics, scientists, and educationists interested in the use of modern technologies in the field of supply chain management, such as the Internet of Things (IoT), Artificial Intelligence (AI), and Blockchain. In addition to those engaged in research, undergraduate and postgraduate students in higher education can also use this publication as a reference book. This book also presents a multifaceted perspective for the general public, including topics such as computer science, the food business, hotel management, fashion, medical, inventory management, and agricultural spheres.

Author : Pandey, Digvijay
Publisher : IGI Global
ISBN 13 :
Total Pages : 358 pages
Book Rating : 4.49/5 ( download)

DOWNLOAD NOW!

Download or read book Utilization of AI Technology in Supply Chain Management written by Pandey, Digvijay and published by IGI Global. This book was released on 2024-03-01 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Pandey, Binay Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 335 pages
Book Rating : 4.80/5 ( download)

DOWNLOAD NOW!

Download or read book AI and Machine Learning Impacts in Intelligent Supply Chain written by Pandey, Binay Kumar and published by IGI Global. This book was released on 2024-01-29 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Mahesh Chand
Publisher : CRC Press
ISBN 13 : 1003800998
Total Pages : 291 pages
Book Rating : 4.96/5 ( download)

DOWNLOAD NOW!

Download or read book Data-Driven Technologies and Artificial Intelligence in Supply Chain written by Mahesh Chand and published by CRC Press. This book was released on 2023-11-23 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Kumaresan Perumal
Publisher : Springer Nature
ISBN 13 : 9811902402
Total Pages : 208 pages
Book Rating : 4.06/5 ( download)

DOWNLOAD NOW!

Download or read book Innovative Supply Chain Management via Digitalization and Artificial Intelligence written by Kumaresan Perumal and published by Springer Nature. This book was released on 2022-04-06 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Katrin Bergener
Publisher : Springer
ISBN 13 : 3030062341
Total Pages : 536 pages
Book Rating : 4.47/5 ( download)

DOWNLOAD NOW!

Download or read book The Art of Structuring written by Katrin Bergener and published by Springer. This book was released on 2019-01-25 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.94/5 ( download)

DOWNLOAD NOW!

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data