Computational Logistics

15th International Conference, ICCL 2024, Monterrey, Mexico, September 8¿10, 2024, Proceedings
Herausgegeben:Garrido, Alexander; Paternina-Arboleda, Carlos D.; Voß, Stefan

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 15th International Conference on Computational Logistics, ICCL 2024, held in Monterrey, Mexico, during September 8-10, 2024.

The 23 full papers presented in this volume were carefully reviewed and selected from 52 submissions.They were organized in topical sections as follows: AI-Robotics/Logistics; AI-Driven Supply Chains; Freight and Transport Planning; Maritime Logistics; Retail, Logistics and Nearshoring; Sustainability.

Produktdetails

• Lecture Notes in Computer Science 15168
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-71992-9
• 2024
• Seitenzahl: 376
• Erscheinungstermin: 12. September 2024
• Englisch
• Abmessung: 235mm x 155mm x 21mm
• Gewicht: 569g
• ISBN-13: 9783031719929
• ISBN-10: 3031719921
• Artikelnr.: 71440546

Inhaltsangabe

.- AI-Robotics/Logistics.

.- Introducing Combi-Stations in Robotic Mobile Fulfilment Systems: A Queueing-Theory-Based Efficiency Analysis.

.- The Static Buffer Reshuffling and Retrieval Problem for Autonomous Mobile Robots.

.- Sorting Multibay Block Stacking Storage Systems with Multiple Robots.

.- Intelligent System and Framework for Integrating Machine Learning with Software Development for Predictive Banking Logistics.

.- AI-Driven Supply Chains.

.- A Deep Learning Accelerated Heuristic for Truck Loading Optimization.

.- Enhancing the Operationalization of SCRES-Based Simulation Models with AI Algorithms: A Preliminary Exploratory Analysis.

.- The Impact of Artificial Intelligence on Mexico's Logistics Sector: Challenges and Opportunities.

.- Freight and Transport Planning.

.- Approaches to Improve the Distribution Aspects of Gasoline in México.

.- Using Deep Reinforcement Learning to Dispatch Loads to Carriers under uncertain demand and dynamic fleet size.

.- An Enterprise-Wide Optimization System for Sustainable Regional Planning.

.- Generation of tourist routes considering preferences and public transport using artificial intelligence planning techniques.

.- Enhancing Last-Mile Delivery: Social Media Insights and Deep Learning Applications.

.- Maritime Logistics.

.- Evaluating Port Emissions Prediction Model Resilience against Cyberthreats.

.- Robust Optimisation for an Integrated Model of Berth and Quay Crane Assignment at Maritime Container Terminals Respecting Uncertain Numbers of Quay Cranes.

.- A Simulation Model for the Container Unloading Process from Ship to Yard in Maritime Terminals.

.- An Efficient Integer Programming Model for Solving the Master Planning Problem of Container Vessel Stowage.

.- Retail, Logistics and Nearshoring.

.- The Impact of Emerging Trends and Increased Supply Chain Costs on Retail Goods Returns: An Analytical Model for Optimizing Pricing and Refund Strategies.

.- Promoting Regional Economic Welfare for Microstores via Nearshoring Strategies.

.- Two-Dimensional Assortment and Shelf-Space Allocation Problem.

.- Sustainability.

.- Predictive Modeling Performance Comparison of Port-Based Hydrocarbon Emissions using Multiple Linear Regression, Decision trees and Random Forest.

.- A metaheuristic method to design one-way electric car sharing system.

.- Industry 4.0 Strategy to Reduce the Effect of CO2 Emissions in Inventory Management Costs.

.- Inventory routing problem with priorities and greenhouse gas emissions reduction.