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Computational Logistics [electronic resource] : 14th International Conference, ICCL 2023, Berlin, Germany, September 6-8, 2023, Proceedings / edited by Joachim R. Daduna, Gernot Liedtke, Xiaoning Shi, Stefan Voß.

Contributor(s): Daduna, Joachim R [editor.] | Liedtke, Gernot [editor.] | Shi, Xiaoning [editor.] | Voß, Stefan [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 14239Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XIV, 552 p. 133 illus., 76 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031436123.Subject(s): Technology -- Sociological aspects | Information technology | Information and Communication Technologies (ICT)Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 303.4833 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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