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Computational Logistics

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

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Alexander Garrido

    1. Tecnológico de Monterrey, Monterrey, Mexico

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  2. Carlos D. Paternina-Arboleda

    1. San Diego State University, San Diego, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Stefan Voß

    1. Universität Hamburg, Hamburg, Germany

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15168)

Included in the following conference series:

Conference proceedings info: ICCL 2024.

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About this book

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.

Keywords

Table of contents (23 papers)

  1. Front Matter

    Pages i-xv
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  3. AI-Driven Supply Chains

    1. Front Matter

      Pages 63-63
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    2. A Deep Learning Accelerated Heuristic for Truck Loading Optimization

      • Fynn Martin Gilbert, Jakob Schulte, André Hottung, Daniel Wetzel, Kevin Tierney
      Pages 65-79

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

      • Alexander Garrido, Fabián Pongutá, Wilson Adarme
      Pages 80-94

    4. The Impact of Artificial Intelligence on Mexico’s Logistics Sector: Challenges and Opportunities

      • Félix Rubén Lostal Martínez
      Pages 95-114

  4. Freight and Transport Planning

    1. Front Matter

      Pages 115-115
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    2. Approaches to Improve the Distribution Aspects of Gasoline in Mexico

      • Santiago-Omar Caballero-Morales, Gladys Bonilla-Enríquez, José-Luís Martínez-Flores
      Pages 117-129

    3. Using Deep Reinforcement Learning to Dispatch Loads to Carriers Under Uncertain Demand and Dynamic Fleet Size

      • Marco Antônio Aburachid Tavares, Adriano Alonso Veloso
      Pages 130-144

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

      • Jesús Velásquez-Bermúdez, Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres
      Pages 145-163

    5. Generation of Tourist Routes Considering Preferences and Public Transport Using Artificial Intelligence Planning Techniques

      • Fernando Elizalde-Ramírez, Cristina Maya-Padrón
      Pages 164-175

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

      • Valeria Laynes-Fiascunari, Luis Rabelo, Edgar Gutierrez-Franco
      Pages 176-186

  5. Maritime Logistics

    1. Front Matter

      Pages 187-187
      Download chapter PDF

    2. Evaluating Port Emissions Prediction Model Resilience Against Cyberthreats

      • Venkata Sai Sandeep Vennam, Carlos D. Paternina-Arboleda, Morteza Safaei Pour
      Pages 189-207

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

      • Abtin Nourmohammadzadeh, Stefan Voß
      Pages 208-222

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

      • Perla-Ayala-Torres, Cristian José Solano Payares, Santiago Omar Caballero
      Pages 223-235
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Other volumes

  1. Computational Logistics

Editors and Affiliations

  • Tecnológico de Monterrey, Monterrey, Mexico

    Alexander Garrido

  • San Diego State University, San Diego, USA

    Carlos D. Paternina-Arboleda

  • Universität Hamburg, Hamburg, Germany

    Stefan Voß

Bibliographic Information

  • Book Title: Computational Logistics

  • Book Subtitle: 15th International Conference, ICCL 2024, Monterrey, Mexico, September 8–10, 2024, Proceedings

  • Editors: Alexander Garrido, Carlos D. Paternina-Arboleda, Stefan Voß

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-71993-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-71992-9Published: 12 September 2024

  • eBook ISBN: 978-3-031-71993-6Published: 11 September 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XV, 358

  • Number of Illustrations: 31 b/w illustrations, 97 illustrations in colour

  • Topics: Science and Technology Studies, Sociology, general

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