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Computational logistics = 14th International Conference, ICCL 2023, Berlin, Germany, September 6-8, 2023 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computational logistics/ edited by Joachim R. Daduna ... [et al.].
其他題名:
14th International Conference, ICCL 2023, Berlin, Germany, September 6-8, 2023 : proceedings /
其他題名:
ICCL 2023
其他作者:
Daduna, Joachim Rolf.
團體作者:
ICCL (Conference)
出版者:
Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:
xiv, 552 p. :ill. (some col.), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Business logistics - Congresses. - Data processing -
電子資源:
https://doi.org/10.1007/978-3-031-43612-3
ISBN:
9783031436123
Computational logistics = 14th International Conference, ICCL 2023, Berlin, Germany, September 6-8, 2023 : proceedings /
Computational logistics
14th International Conference, ICCL 2023, Berlin, Germany, September 6-8, 2023 : proceedings /[electronic resource] :ICCL 2023edited by Joachim R. Daduna ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xiv, 552 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,142390302-9743 ;. - Lecture notes in computer science ;14239..
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.
ISBN: 9783031436123
Standard No.: 10.1007/978-3-031-43612-3doiSubjects--Topical Terms:
3209848
Business logistics
--Data processing--Congresses.
LC Class. No.: HD38.5
Dewey Class. No.: 658.500285
Computational logistics = 14th International Conference, ICCL 2023, Berlin, Germany, September 6-8, 2023 : proceedings /
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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 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.
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