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3 books on AI for Logistics [PDF]
Updated: May 11, 2024 | 16 |
Books on AI for logistics are invaluable resources for startups venturing into the development of AI solutions tailored for the logistics and supply chain industry. These texts delve into the applications of artificial intelligence in route optimization, demand forecasting, inventory management, and warehouse automation, providing startups with a deep understanding of the complexities and opportunities within the logistics field.
1. Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management
2022 by Dinesh K. Sharma, Madhu Jain
This book explores innovative approaches in data analytics and artificial intelligence for inventory and supply chain management, offering valuable insights and strategies to enhance business operations and decision-making for retailers and managers. It covers various aspects, including optimal ordering and delivery policies, demand forecasting, planning optimization, and digital execution tracking, utilizing detailed models and AI computing methods. Notably, the book incorporates real-life examples, case studies, and practical models to facilitate the adoption of new solutions, data analytics, and AI-driven automation techniques. It is a valuable resource for retailers and managers seeking to align their inventory control and supply chain strategies, providing a roadmap for improvement. Additionally, the book caters to postgraduate students, researchers, corporate executives, and professionals interested in the application of artificial intelligence in inventory and supply chain management, offering both theoretical insights and practical solutions for real-world challenges.
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2. Innovative Supply Chain Management via Digitalization and Artificial Intelligence
2022 by Kumaresan Perumal, Chiranji Lal Chowdhary, Logan Chella
This book delves into the transformative impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in the context of Industry 4.0. Each chapter showcases the application of AI and ML models across various functional areas within supply chain management (SCM). Examples are provided that demonstrate the use of ML models in addressing challenges such as managing supply-to-demand imbalances, automating responses, and strengthening customer relationships. The book also explores the evolution of blockchain technology and its integration with automated business logic to enhance transparency in the tracking of goods, infrastructure, products, and licenses. Additionally, real-world case studies are presented, presenting specific problems and industries where ML and AI technologies have been successfully implemented. This comprehensive resource is valuable for students at both undergraduate and postgraduate levels, as well as industry professionals, business leaders, entrepreneurs, and freelancers seeking practical insights into AI and ML algorithms within the realm of SCM 4.0. Moreover, it serves as a reference for computer science and information system professionals looking to stay abreast of the latest technologies shaping the corporate landscape.
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3. AI-Based Transportation Planning and Operation
2021 by Keemin Sohn
This book aims to establish an academic platform dedicated to the publication of exceptional research papers that delve into the utilization of cutting-edge AI algorithms in the realms of transportation planning and operation. The authors present their pioneering research articles, focusing on the application of AI and machine-learning techniques in various aspects of transportation, including traffic surveillance, safety enhancement, vehicle emission reduction, congestion alleviation, traffic speed prediction, and ride-sharing strategies. Through this collection of research, the book contributes to the advancement of knowledge in the field of AI-based transportation solutions.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management
2022 by Dinesh K. Sharma, Madhu Jain
This book explores innovative approaches in data analytics and artificial intelligence for inventory and supply chain management, offering valuable insights and strategies to enhance business operations and decision-making for retailers and managers. It covers various aspects, including optimal ordering and delivery policies, demand forecasting, planning optimization, and digital execution tracking, utilizing detailed models and AI computing methods. Notably, the book incorporates real-life examples, case studies, and practical models to facilitate the adoption of new solutions, data analytics, and AI-driven automation techniques. It is a valuable resource for retailers and managers seeking to align their inventory control and supply chain strategies, providing a roadmap for improvement. Additionally, the book caters to postgraduate students, researchers, corporate executives, and professionals interested in the application of artificial intelligence in inventory and supply chain management, offering both theoretical insights and practical solutions for real-world challenges.
Download PDF
2. Innovative Supply Chain Management via Digitalization and Artificial Intelligence
2022 by Kumaresan Perumal, Chiranji Lal Chowdhary, Logan Chella
This book delves into the transformative impact of artificial intelligence (AI) and machine learning (ML) models on supply chain operations in the context of Industry 4.0. Each chapter showcases the application of AI and ML models across various functional areas within supply chain management (SCM). Examples are provided that demonstrate the use of ML models in addressing challenges such as managing supply-to-demand imbalances, automating responses, and strengthening customer relationships. The book also explores the evolution of blockchain technology and its integration with automated business logic to enhance transparency in the tracking of goods, infrastructure, products, and licenses. Additionally, real-world case studies are presented, presenting specific problems and industries where ML and AI technologies have been successfully implemented. This comprehensive resource is valuable for students at both undergraduate and postgraduate levels, as well as industry professionals, business leaders, entrepreneurs, and freelancers seeking practical insights into AI and ML algorithms within the realm of SCM 4.0. Moreover, it serves as a reference for computer science and information system professionals looking to stay abreast of the latest technologies shaping the corporate landscape.
Download PDF
3. AI-Based Transportation Planning and Operation
2021 by Keemin Sohn
This book aims to establish an academic platform dedicated to the publication of exceptional research papers that delve into the utilization of cutting-edge AI algorithms in the realms of transportation planning and operation. The authors present their pioneering research articles, focusing on the application of AI and machine-learning techniques in various aspects of transportation, including traffic surveillance, safety enhancement, vehicle emission reduction, congestion alleviation, traffic speed prediction, and ride-sharing strategies. Through this collection of research, the book contributes to the advancement of knowledge in the field of AI-based transportation solutions.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
