Dear colleagues,

We are excited to invite you to contribute a chapter to the second edition of our upcoming book titled:

---- “Innovations in computational logistics and supply chain analytics: theories, methods, and applications” ------

to be published by Springer in late 2025.

There are no fees associated with the review or publication process for accepted chapters.


Link to the first edition: https://link.springer.com/book/10.1007/978-3-031-50036-7

Below is a short description of the book:

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The increasing globalization and the rapid technological development have put more pressure on business managers to propose efficient logistic and supply chain management (SCM) strategies, tools, methods, and techniques to keep efficient the overall flow of materials throughout the supply chain and to ensure procuring high-quality finished products. Lots of efforts have been deployed to address these challenges. In particular, computational intelligence methods have been extensively used in studying and optimizing the different activities along the entire supply chain including replenishment, transportation and distribution planning, inventory management, recycling, and facility location problems, while considering customer requirements, short delivery times, and increasing cost and environmental pressures.
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 main topics covered are, but not limited to:
• Data-driven techniques for solving SCM problems
• Smart logistics
• Reverse logistics
• Green supply chain management
• Sustainable supply chain management
• Transportation and distribution problems
• Intelligent production planning techniques
• Inventory optimization
• Digital transformation of logistics
• Fuzzy approaches for solving logistic and transportation problems
• Supervised and unsupervised learning methods for optimized logistics
• Demand and sales forecasting using supervised, unsupervised and deep learning
• Solving Scheduling problems
• Integrated production distribution
• Data analytic techniques for solving vehicle routing problems
• Intelligent and automatic operations planning
• Predictive analytics in quality control
• Innovative techniques and tools in logistics and industry x.0
• Augmented reality for logistics and industry x.0
• Digitalization and automation of logistics and Supply chain processes
• Analysis and evaluation of urban transportation
• Distributed optimization of logistics planning
• Data value chain in smart logistics and production
• Learning-based risk management
• Centralized and distributed logistic management
• Intelligent and smart systems for solving logistics and supply chain problems
• Intelligent logistic network design
• Intelligent visualization of logistics data

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Important Dates

Submission of full-length chapters: January 30, 2025
Notification of editorial decisions: March 28, 2025
Submission of revised chapters: May 01, 2025
Notification of final editorial decisions: Mai 10, 2025

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Submissions

All submissions should be done via EasyChair: https://easychair.org/conferences/?conf=logisticsscanalytics1

Original artwork and a signed Springer copyright release form will be required for all accepted chapters.
It is especially important that you use the following Springer book template:
•LATEX: https://dam.springernature.com/file/59jjnY1zKdxAzjFSy9LvfE/*/svmult.zip?authcred=Q29weVVSTDpDMHB5X1VSTA==

• Word: https://dam.springernature.com/file/67_5h0_5avS84P01jcgbDI/*/T1-book.zip?authcred=Q29weVVSTDpDMHB5X1VSTA==

Authors instructions : https://www.springer.com/gp/authors-editors/book-authors-editors/your-publication-journey/manuscript-preparation?srsltid=AfmBOootDKiIHSoCPeoHHY2Ft0oENQjdMWyHbtke407TJJhElMNKJGdK


Feel free to contact the book editors via email: (imalharbi@uj.edu.sa; cbenncir@uj.edu.sa; aaqaffas@uj.edu.sa; monia.rekik@fsa.ulaval.ca ‎ ) regarding your chapter ideas.


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Editors

•Pr. Ibraheem Alharbi, College of Business, University of Jeddah, Saudi Arabia.
•Dr. Chiheb-Eddine Ben Ncir, College of Business, University of Jeddah, Saudi Arabia.
•Pr. Alaa Qaffas, College of Business, University of Jeddah, Saudi Arabia.
•Dr. Abdullah Alabdulkarim, Executive Director, Saudi Logistics Academy (SLA), Saudi Arabia.
•Pre. Monia Rekik, Full Professor, Department of operations and decision systems, Université Laval, Canada.