Computational Logistics : 14th International Conference, ICCL 2023, Berlin, Germany, September 6–8, 2023, Proceedings / edited by Joachim R. Daduna, Gernot Liedtke, Xiaoning Shi, Stefan Voß
(Lecture Notes in Computer Science. ISSN:16113349 ; 14239)
データ種別 | 電子ブック |
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版 | 1st ed. 2023. |
出版者 | (Cham : Springer Nature Switzerland : Imprint: Springer) |
出版年 | 2023 |
大きさ | XIV, 552 p. 133 illus., 76 illus. in color : online resource |
著者標目 | Daduna, Joachim R editor Liedtke, Gernot editor Shi, Xiaoning editor Voß, Stefan editor SpringerLink (Online service) |
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一般注記 | 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 Cargo Quantities: 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 HTTP:URL=https://doi.org/10.1007/978-3-031-43612-3 |
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件 名 | LCSH:Technology -- Sociological aspects
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LCSH:Information technology FREE:Information and Communication Technologies (ICT) |
分 類 | LCC:HM851 DC23:303.4833 |
書誌ID | EB00003696 |
ISBN | 9783031436123 |
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