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AI IN ERP AND SUPPLY CHAIN MANAGEMENT

Author : Saurabh Suman Choudhuri

Publisher : Academic Guru Publishing House

Page : 237 pages

File Size : 31,12 MB

Release : 2024-07-01

Category : Study Aids

ISBN : 8197589062

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Book Description

“AI in ERP and Supply Chain Management” is a comprehensive book that provides an in-depth discussion on the integration of artificial intelligence (AI) in the areas of enterprise resource planning (ERP) and supply chain management (SCM). This book explores the transformational impact of AI on these critical business areas, providing a practical guide to implementing and leveraging AI technologies. The book begins by explaining the basic concepts of AI and its various subfields, such as machine learning, natural language processing, and robotics. It further explains how these AI technologies can be applied to ERP and SCM to increase operational efficiency, optimize decision-making, and unlock new business opportunities. Readers are given valuable information about the potential applications of AI in ERP and SCM, ranging from demand forecasting and inventory management to logistics optimization and supply chain risk management. In addition, the authors discuss the challenges and considerations associated with implementing AI in ERP and SCM, such as data privacy, security, and ethical concerns. They provide guidance on selecting appropriate AI technologies, integrating them with existing systems, and ensuring successful deployment within an organization. The book also explores the future prospects of AI in ERP and SCM, highlighting emerging technologies such as the Internet of Things (IoT), big data analytics, and blockchain and how they can be combined with AI to create even more sophisticated and intelligent systems. “AI in ERP and Supply Chain Management” is a valuable resource for every profession interested in harnessing the power of AI to revolutionize ERP and SCM. With its comprehensive coverage, practical insights, and visionary outlook, this book provides a roadmap for organizations seeking to remain competitive in the era of AI-driven digital transformation.



Artificial Intelligence in Supply Chain Management

Author : Calvin Klein

Publisher : Cuvillier Verlag

Page : 95 pages

File Size : 32,96 MB

Release : 2023-10-06

Category :

ISBN : 3736968817

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Book Description

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.



AI and Machine Learning Impacts in Intelligent Supply Chain

Author : Pandey, Binay Kumar

Publisher : IGI Global

Page : 335 pages

File Size : 48,71 MB

Release : 2024-01-29

Category : Business & Economics

ISBN :

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Book Description

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.



Utilization of AI Technology in Supply Chain Management

Author : Pandey, Digvijay

Publisher : IGI Global

Page : 358 pages

File Size : 17,46 MB

Release : 2024-03-01

Category : Business & Economics

ISBN :

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Book Description

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.





Data-Driven Technologies and Artificial Intelligence in Supply Chain

Author : Mahesh Chand

Publisher : CRC Press

Page : 319 pages

File Size : 35,98 MB

Release : 2023-11-22

Category : Technology & Engineering

ISBN : 1003802397

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Book Description

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.



Our Quick Notes on Use of Artificial Intelligence (AI) in Supply Chain Management

Author : Vivek Sood

Publisher : Global Supply Chain Group

Page : 24 pages

File Size : 14,37 MB

Release : 2020-11-18

Category : Business & Economics

ISBN :

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Book Description

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?



AI-powered Enterprise Resource Planning

Author : Pradeep K. Suri

Publisher : Blue Rose Publishers

Page : 150 pages

File Size : 16,95 MB

Release : 2023-08-11

Category : Computers

ISBN :

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Book Description

AI-powered Enterprise Resource Planning Intelligence" by Pradeep K. Suri explores the integration of AI with ERP systems. The book provides a comprehensive understanding of AI and ERP convergence, guiding businesses to leverage AI technologies and maximize data potential. Key features include exploring AI foundations, understanding ERP evolution and challenges, discovering the benefits of AI-ERP integration, practical applications of AI in ERP systems, overcoming integration obstacles, and learning best practices for successful implementation. The book emphasizes the balance between human and machine collaboration, enabling organizations to harness AI's power while preserving the human touch for sustainable competitive advantage in the digital world. It's a valuable resource for business leaders, IT professionals, researchers, and anyone interested in AI's transformative potential in the enterprise.



The Oxford Handbook of Supply Chain Management

Author : Thomas Y. Choi

Publisher :

Page : pages

File Size : 21,3 MB

Release :

Category : Business logistics

ISBN : 9780190066734

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Book Description

This handbook is currently in development, with individual articles publishing online in advance of print publication. At this time, we cannot add information about unpublished articles in this handbook, however the table of contents will continue to grow as additional articles pass through the review process and are added to the site. Please note that the online publication date for this handbook is the date that the first article in the title was published online.



Artificial Intelligence in Industrial Applications

Author : Steven Lawrence Fernandes

Publisher : Springer Nature

Page : 203 pages

File Size : 40,80 MB

Release : 2021-12-07

Category : Technology & Engineering

ISBN : 3030853837

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Book Description

This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.