The College of Business extends its congratulations to the Editorial team on the successful publication of the second edition of its focus-area book series in Supply Chain and Logistics, in collaboration with the international publisher Springer. This book discusses advances in computational logistics and supply chain analytics. The book includes innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that have been designed or applied to create and implement a successful logistics and supply chain management process. The book describes new applications of machine learning and data analytic techniques to solve transport, logistic, and supply chain optimization problems. The book gives readers an overview of innovative design and applications of computational methods issued from machine learning and data analytics domains to automate and improve transport, logistic and supply chain processes. The authors also highlight the importance of embedding and using computational methods to improve transport, logistic and supply chain processes. The authors introduce case studies of logistic and supply chain processes improved using innovative learning-based or data-driven methods. Table of contents (8 chapters) 1. Multi-Capital Sustainability Assessment in Agro-Food Supply Chains: A Systematic Review of Indicators and Stakeholder Perspectives 2. A Review of SHAP and LIME for Enhancing Classification Transparency in Real-Life Logistics and Supply Chain Management Problems 3. Sustainable Urban Transportation Through Optimized Charging Station Placement with Geographic and Multi-Criteria Analysis 4. Operationalizing Auction-Based Strategic Carriers’ Selection in Distribution Networks 5. Optimizing Home Health Care Decisions: A Bi-level Evolutionary Approach Considering Patient Preferences 6. An Evolutionary Algorithm-Based Decision Support System for Bi-objective Hazardous Materials Transportation 7. Optimal Green Investment Timing Under Linear Progressive Carbon Tax Legislation 8. Case-Based Reasoning for Solving Container Pre-Marshalling Problem in Seaport Terminals

In line with the vision of the University of Jeddah, a modern Saudi university, and based on the Ministry of Education's orientations toward research and innovation linked to the national research priorities of the Research, Development, and Innovation Authority, the Deanship of Scientific Research and Innovation at the University of Jeddah announced the launch of advanced programs to support faculty members. This will enhance the university's standing, achieve its vision, and support the research capabilities of faculty members and students.

A research team from the from the College of Business is preparing the second edition of a research book entitled: "Innovations in Computational Logistics and Supply Chain Analytics" This book highlights the state of the art and challenges related to the design and the application of computational methods to solve logistic and supply chain management problems. It aims to present for readers recent computational logistic methods and supply chain analytics techniques designed and applied to support managers in improving such complex processes. The project of the second edition of the book will be presented in cooperation with the Saudi Logistics Academy and Laval University in Canada, and will be published by Springer in late 2025. Link to the book's home page : https://easychair.org/cfp/LogisticsSCAnalytics2025 *Due date for receiving full chapters is : January 15, 2025 The book project will be of great importance in highlighting the role of the University of Jeddah in supporting innovations in logistics in Saudi Arabia. Therefore, we are pleased to invite you to contribute a chapter to the second edition of the book.