This book constitutes the refereed proceedings of the 13th International Conference on Computational Logistics, ICCL 2023, held in Berlin, Germany, during September 6-8, 2023.
The 32 full papers presented in this volume were carefully reviewed and selected from 71 submissions.
They are grouped into the following topics: computational logistics; maritime shipping; vehicle routing; traffic and transport; and combinatorial optimization.
Inhaltsverzeichnis
Successfully Using ChatGPT in Logistics: Are We There Yet? . - When Routing Meets Recommendation: Solving Dynamic Order Recommendations Problem in Peer-to-Peer Logistics Platforms. - A Reactive-Periodic Hybrid Optimization for Internal Hospital Logistics. - Cybersecurity Considerations for the Design of a Digital Twin Enabled AI-Driven Real-Time Distributed Optimization of Container Carbon Emissions Reduction for Synchromodal Freight Operations. - Customer s Choice in the Context of Cross-border E-Commerce: An Application of SEM. - Towards a Deep Reinforcement Learning Model of Master Bay Stowage Planning. - The Dynamic RORO Stowage Planning Problem. - Allocation of shore side electricity: The case of the Port of Hamburg. - Stockyard storage space allocation in dry bulk terminals considering mist cannons and energy expenditure. - Planning LNG Annual Delivery Programs with Speed Optimization and Multiple Loading Ports. - Tramp Ship Routing with Bunker Optimization and Flexible CargoQuantities: Case from Dry Bulk Shipping. - Digital Twins in Seaports: Current and Future Applications. - Using Neural Networks for ETA Prediction in inland waterway transport. - A Regret Policy For The Dynamic Vehicle Routing Problem With Time Windows. - A Tabu Search Algorithm for the Traveling Purchaser Problem with Transportation Time Limit. - GRASP solution approach for the e-waste collection problem. - The heterogeneous fleet risk-constrained vehicle routing problem in humanitarian logistics. - The Snow Grooming Routing Problem. - A constraint programming model for the vehicle routing problem with multiple time windows. - A Variable Neighborhood Search Algorithm for the Truck-Drone Routing Problem. - Prediction and Analysis of Transit Ferries Travel Time: An Open Data-Based Case Study. - A Bi-objective Column Generation Approach for Real-World Rolling Stock Circulation Planning Problems. - An Effective Matheuristic Approach for Robust Bus Driver Rostering with Uncertain Daily Working Hours. -Beyond Cargo Hitching: Combined People and Freight Transport Using Dynamically Configurable Autonomous Vehicles. - Impact of Public Transport Development on Health Care Services in Rural Areas. - Ridesharing in Rural Areas with Autonomous Electric Vehicles and Interrelated Trips. - Operational integration of supply chain activities with earliness and tardiness considerations. - Constrained Multi-Agent Path Planning Problem. - UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment. - Minimizing peak energy demand in exible job shops. - Carbon-Aware Mine Planning with a Novel Multi-Objective Framework. - Multi-product lot-sizing problem with remanufacturing, lost sales and sequence-dependent changeover cost. . - A radius-based approach for the bi-objective p-center and p-dispersion problem
