Intelligent Logistics Management in Digital Economy

This book delivers a systematic study of intelligent logistics management in the context of the digital economy. Covering a comprehensive range of topicsincluding intelligent warehouse storage, smart transportation and distribution, innovative finance in logistics and supply chain, and new business models in logistics and supply chain ecosystemsproviding readers such as graduates, researchers, algorithm engineers, and managers with a broad and in-depth understanding of intelligent logistics. Key features and benefits include a focus on innovations in logistics through advancements in information, financial, product, and service flows, powered by technologies such as 5G, big data analytics, blockchain, and the Internet of Things. The book provides both theoretical methodologies and practical applications in real-world scenarios, equipping readers to navigate and innovate within the evolving landscape of modern logistics.

Provides advanced algorisms and effective strategies for automated storage and retrieval system Designs effective distribution strategies and innovative logistics finance modes Reveals the mechanisms by which digital technology impacts the logistics and supply chain ecosystem

Autorentext

Dr. Feng Yang is a Professor at the School of Management, University of Science and Technology of China, where he obtained his Ph.D. in 2006. His research interests include operations management, modern supply chain management, intelligent logistics management, and data envelopment analysis (DEA). He has published more than 150 SCI/SSCI articles in leading international journals such as European Journal of Operational Research, Transportation Research Part E: Logistics and Transportation Review, International Journal of Production Research, Annals of Operations Research, etc. He has received several prizes and funding, including the Outstanding Author Contribution Award by Emerald in 2014, the Natural Science Award First Prize of High Schools in China in 2010 by the Ministry of Education of China, a fund for Outstanding Young Scholars by the National Natural Science Foundation of China (NSFC) in 2013, and Key and Major Programs from NSFC in 2016 and 2020.

Dr. Xiaolong Guo is a professor at the School of Management, University of Science and Technology of China, where he obtained his Ph.D. in 2014. His PhD thesis, "Storage Policies and Maintenance Support Strategies in Warehousing Systems", is recognized as an Outstanding Ph.D. Research and published in the book series "Springer Theses". Professor Guo has published more than 50 articles in top journals, including Manufacturing & Service Operations Management, Production and Operations Management, Journal of Management Information Systems, and European Journal of Operational Research. His research has been recognized as an outstanding achievement by the National Natural Science Foundation of China and won the First Prize of Humanities and Social Sciences of the Ministry of Education of the People's Republic of China.

Dr. Yugang Yu is a Chair Professor at the School of Management, University of Science and Technology of China, where he obtained his Ph.D. in 2003. His research interests include data-driven modeling, algorithms, intelligent robotics in logistics, platform-based supply chains, and digital intelligence for carbon emission reduction. He serves as the Editor-in-Chief of Modern Supply Chain Research and Applications. Professor Yu has published more than 150 articles in top journals, including Manufacturing & Service Operations Management, Transportation Science, Information Systems Research, Marketing Science, Production and Operations Management. Prof. Yu's Awards and honors include the Most Cited Chinese Researchers by Elsevier from 2014 to 2024, the First Prize of Humanities and Social Sciences of the Ministry of Education of the People's Republic of China in 2020, the Distinguished Professor of the Changjiang Scholars by the Ministry of Education in China in 2015.

Inhalt

Chapter 1. Introduction.- Part I: Intelligent Warehouse Storage.- Chapter 2. Current State of Intelligent Warehouse Storage.- Chapter 3. Storage Assignment in Forward Picking Areas.- Chapter 4. Automated Storage and Retrieval Systems with Vertical Coordination.- Chapter 5. Multi-Robot Scheduling of Storage Systems.- Part II: Transportation and Distribution Management Driven by Big Data.- Chapter 6. Current State of Transportation and Distribution Management.- Chapter 7. Low-Carbon Routing for Green Logistics.- Chapter 8. Reverse Logistics of Online Retailing Platforms.- Chapter 9. Fast Urban Delivery with Uncertain Assembly Time.- Part III: Logistics and Supply Chain Finance.- Chapter 10. Current State of Logistics and Supply Chain Finance.- Chapter 11. Financing Strategy for Small and Medium-Sized Enterprises.- Chapter 12. Financing Strategy for Capital-Constrained Third-Party Logistics Firms.- Chapter 13. Collaborative Financing Strategy for Supplier and Manufacturer.- Part IV: Logistics and Supply Chain Ecology.- Chapter 14. Current State of Logistics and Supply Chain Ecology.- Chapter 15. Logistics Outsourcing with Online Freight Platforms.- Chapter 16. Leveraging the Social Fabric to Improve Rural E-Commerce Access.- Chapter 17. Impact of Digital Technology Enabled Showrooming and Webrooming Behaviors on the Ecosystem of Multichannel Retailing.- Chapter 18. Application of Intelligent Technology in a Reverse Supply Chain -- Blockchain Adoption to Combat Remanufacturing Perceived Risks.