Data Analytics And Artificial Intelligence For Inventory And Supply Chain Management
Download Data Analytics And Artificial Intelligence For Inventory And Supply Chain Management full books in PDF, epub, and Kindle. Read online free Data Analytics And Artificial Intelligence For Inventory And Supply Chain Management ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads.
Author |
: Dinesh K. Sharma |
Publisher |
: |
Total Pages |
: 0 |
Release |
: 2022 |
ISBN-10 |
: 981196338X |
ISBN-13 |
: 9789811963384 |
Rating |
: 4/5 (8X Downloads) |
Synopsis Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management by : Dinesh K. Sharma
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. .
Author |
: Dinesh K. Sharma |
Publisher |
: Springer Nature |
Total Pages |
: 293 |
Release |
: 2022-11-08 |
ISBN-10 |
: 9789811963377 |
ISBN-13 |
: 9811963371 |
Rating |
: 4/5 (77 Downloads) |
Synopsis Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management by : Dinesh K. Sharma
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.
Author |
: Calvin Klein |
Publisher |
: Cuvillier Verlag |
Total Pages |
: 95 |
Release |
: 2023-10-06 |
ISBN-10 |
: 9783736968813 |
ISBN-13 |
: 3736968817 |
Rating |
: 4/5 (13 Downloads) |
Synopsis Artificial Intelligence in Supply Chain Management by : Calvin Klein
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 |
: 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 |
: 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 |
: 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 |
: Dmitry Ivanov |
Publisher |
: Springer Nature |
Total Pages |
: 178 |
Release |
: |
ISBN-10 |
: 9783031512414 |
ISBN-13 |
: 3031512413 |
Rating |
: 4/5 (14 Downloads) |
Synopsis Introduction to Supply Chain Analytics by : Dmitry Ivanov
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 |
: Iman Rahimi |
Publisher |
: CRC Press |
Total Pages |
: 209 |
Release |
: 2020-12-20 |
ISBN-10 |
: 9781000326932 |
ISBN-13 |
: 1000326934 |
Rating |
: 4/5 (32 Downloads) |
Synopsis Big Data Analytics in Supply Chain Management by : Iman Rahimi
In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.
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.