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Computational Logistics 15th International Conference, ICCL 2024, Monterrey, Mexico, September 8–10, 2024, Proceedings

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

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...

Beschreibung

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

Einband

Taschenbuch
Erscheinungsdatum

12.09.2024
Abbildungen

XV, 358 p. 128 illus., 97 illus. in color.
Herausgeber Alexander Garrido + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

12.09.2024
Abbildungen

XV, 358 p. 128 illus., 97 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

358
Maße (L/B/H)

23,5/15,5/2,1 cm
Gewicht

569 g
Auflage

2024
Sprache

Englisch
ISBN

978-3-031-71992-9
Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Computational Logistics
  • Produktbild: Computational Logistics

  • .- 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.