TÃtulo : |
12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings |
Tipo de documento: |
documento electrónico |
Autores: |
Mes, Martijn, ; Lalla-Ruiz, Eduardo, ; Voß, Stefan, |
Mención de edición: |
1 ed. |
Editorial: |
[s.l.] : Springer |
Fecha de publicación: |
2021 |
Número de páginas: |
XII, 662 p. 169 ilustraciones, 120 ilustraciones en color. |
ISBN/ISSN/DL: |
978-3-030-87672-2 |
Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
Palabras clave: |
Algoritmos IngenierÃa Informática Red de computadoras Informática Inteligencia artificial Diseño y Análisis de Algoritmos IngenierÃa Informática y Redes Matemáticas de la Computación |
Clasificación: |
|
Resumen: |
Este libro constituye las actas arbitradas de la 12.ª Conferencia Internacional sobre LogÃstica Computacional, ICCL 2021, celebrada en septiembre de 2021. Debido a la pandemia de COVID-19, la conferencia se celebró de forma virtual. Los 42 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 111 presentaciones. Detallan la interfaz de sistemas logÃsticos complejos y métodos computacionales avanzados de los campos de la investigación de operaciones, el análisis de negocios y la inteligencia artificial. Los artÃculos están organizados en secciones temáticas denominadas logÃstica marÃtima y portuaria; cadena de suministro y gestión de la producción; transporte urbano y logÃstica colaborativa; enrutamiento, despacho y programación; logÃstica aérea y transporte multimodal. |
Nota de contenido: |
Maritime and Port Logistics An Integrated Planning, Scheduling, Yard Allocation and Berth Allocation Problem in Bulk Ports: Model and Heuristics -- Simulation of an AIS System for the Port of Hamburg -- Designing the Hydrogen Supply Chain for Maritime Transportation in Norway -- Destination Prediction of Oil Tankers Using Graph Abstractions and Recurrent Neural Networks -- Scheduling Drillships in Offshore Activities -- Solving a Real-Life Tramp Ship Routing and Scheduling Problem with Speed Profiles -- Optimizing Maritime Preparedness under Uncertainty - Locating Tugboats along the Norwegian Coast -- Supply Chain and Production Management Layout-Agnostic Order Batching Optimization -- Automated Negotiation for Supply Chain Finance -- Production Scheduling with Stock- and Staff-related Restrictions -- Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing -- A Multi-Periodic Modelling Approach for Integrated Warehouse Design and Product Allocation -- New Valid Inequalities for a Multi-echelon Multi-item Lot-sizing Problem with Returns and Lost Sales -- Interactive Multiobjective Optimization in Lot Sizing with Safety Stock and Safety Lead Time -- The Craft Beer Game and the Value of Information Sharing -- Smarter Relationships? The Present and Future Scope of AI Application in Buyer-Supplier Relationships -- The Effect of Order Batching on a Cyclical Order Picking System -- Bi-Objective Optimization for Joint Production Scheduling and Distribution Problem with Sustainability -- On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse -- Urban Transport and Collaborative Logistics Real-Time Dispatching with Local Search Improvement for Dynamic Ride-Sharing -- A Learning and Optimization Framework for Collaborative Urban Delivery Problems with Alliances -- Analysis of Schedules for Rural First and Last Mile Microtransit Services -- The Share-A-Ride Problem with Integrated Routing and Design Decisions: The Case of Mixed-Purpose Shared Autonomous Vehicles -- Algorithms for the Design of Round-trip Carsharing Systems with a Heterogeneous Fleet -- Exact Separation Algorithms for the Parallel Drone Scheduling Traveling Salesman Problem -- A Multi-Start VNS Algorithm for the TSP-D with Energy Constraints -- Formal Methods to Verify and Ensure Self-Coordination Abilities in the Internet of Vehicles -- Routing, Dispatching, and Scheduling Equipment Dispatching Problem for Underground Mine Under Stochastic Working Times -- Bhar Layeb Vertical Stability Constraints in Combined Vehicle Routing and 3D Container Loading Problems -- Automated Tour Planning for Driving Service of Children with Disabilities: A Web-Based Platform and a Case Study -- A Multi-objective Biased Random-Key Genetic Algorithm for Service Technician Routing and Scheduling Problem -- Optimization of Green Pickup and Delivery Operations in Multi-Depot Distribution Problems -- Solving the Shipment Rerouting Problem with Quantum Optimization Techniques -- Improving the Location of Roadside Assistance Resources through Incident Forecasting -- Solving a Multi-Objective Vehicle Routing Problem with Synchronization Constraint -- Air Logistics and Multi-modal Transport Analysis of the Impact of Physical Internet on the Container Loading Problem -- Applying Constraint Programming to the Multi-Mode Scheduling Problem in Harvest Logistics -- Tackling Uncertainty in Online Multimodal Transportation Planning using Deep Reinforcement Learning. |
Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings [documento electrónico] / Mes, Martijn, ; Lalla-Ruiz, Eduardo, ; Voß, Stefan, . - 1 ed. . - [s.l.] : Springer, 2021 . - XII, 662 p. 169 ilustraciones, 120 ilustraciones en color. ISBN : 978-3-030-87672-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: |
Algoritmos IngenierÃa Informática Red de computadoras Informática Inteligencia artificial Diseño y Análisis de Algoritmos IngenierÃa Informática y Redes Matemáticas de la Computación |
Clasificación: |
|
Resumen: |
Este libro constituye las actas arbitradas de la 12.ª Conferencia Internacional sobre LogÃstica Computacional, ICCL 2021, celebrada en septiembre de 2021. Debido a la pandemia de COVID-19, la conferencia se celebró de forma virtual. Los 42 artÃculos completos fueron cuidadosamente revisados ​​y seleccionados entre 111 presentaciones. Detallan la interfaz de sistemas logÃsticos complejos y métodos computacionales avanzados de los campos de la investigación de operaciones, el análisis de negocios y la inteligencia artificial. Los artÃculos están organizados en secciones temáticas denominadas logÃstica marÃtima y portuaria; cadena de suministro y gestión de la producción; transporte urbano y logÃstica colaborativa; enrutamiento, despacho y programación; logÃstica aérea y transporte multimodal. |
Nota de contenido: |
Maritime and Port Logistics An Integrated Planning, Scheduling, Yard Allocation and Berth Allocation Problem in Bulk Ports: Model and Heuristics -- Simulation of an AIS System for the Port of Hamburg -- Designing the Hydrogen Supply Chain for Maritime Transportation in Norway -- Destination Prediction of Oil Tankers Using Graph Abstractions and Recurrent Neural Networks -- Scheduling Drillships in Offshore Activities -- Solving a Real-Life Tramp Ship Routing and Scheduling Problem with Speed Profiles -- Optimizing Maritime Preparedness under Uncertainty - Locating Tugboats along the Norwegian Coast -- Supply Chain and Production Management Layout-Agnostic Order Batching Optimization -- Automated Negotiation for Supply Chain Finance -- Production Scheduling with Stock- and Staff-related Restrictions -- Chances of Interpretable Transfer Learning for Human Activity Recognition in Warehousing -- A Multi-Periodic Modelling Approach for Integrated Warehouse Design and Product Allocation -- New Valid Inequalities for a Multi-echelon Multi-item Lot-sizing Problem with Returns and Lost Sales -- Interactive Multiobjective Optimization in Lot Sizing with Safety Stock and Safety Lead Time -- The Craft Beer Game and the Value of Information Sharing -- Smarter Relationships? The Present and Future Scope of AI Application in Buyer-Supplier Relationships -- The Effect of Order Batching on a Cyclical Order Picking System -- Bi-Objective Optimization for Joint Production Scheduling and Distribution Problem with Sustainability -- On the Effect of Product Demand Correlation on the Storage Space Allocation Problem in a Fast-Pick Area of a Warehouse -- Urban Transport and Collaborative Logistics Real-Time Dispatching with Local Search Improvement for Dynamic Ride-Sharing -- A Learning and Optimization Framework for Collaborative Urban Delivery Problems with Alliances -- Analysis of Schedules for Rural First and Last Mile Microtransit Services -- The Share-A-Ride Problem with Integrated Routing and Design Decisions: The Case of Mixed-Purpose Shared Autonomous Vehicles -- Algorithms for the Design of Round-trip Carsharing Systems with a Heterogeneous Fleet -- Exact Separation Algorithms for the Parallel Drone Scheduling Traveling Salesman Problem -- A Multi-Start VNS Algorithm for the TSP-D with Energy Constraints -- Formal Methods to Verify and Ensure Self-Coordination Abilities in the Internet of Vehicles -- Routing, Dispatching, and Scheduling Equipment Dispatching Problem for Underground Mine Under Stochastic Working Times -- Bhar Layeb Vertical Stability Constraints in Combined Vehicle Routing and 3D Container Loading Problems -- Automated Tour Planning for Driving Service of Children with Disabilities: A Web-Based Platform and a Case Study -- A Multi-objective Biased Random-Key Genetic Algorithm for Service Technician Routing and Scheduling Problem -- Optimization of Green Pickup and Delivery Operations in Multi-Depot Distribution Problems -- Solving the Shipment Rerouting Problem with Quantum Optimization Techniques -- Improving the Location of Roadside Assistance Resources through Incident Forecasting -- Solving a Multi-Objective Vehicle Routing Problem with Synchronization Constraint -- Air Logistics and Multi-modal Transport Analysis of the Impact of Physical Internet on the Container Loading Problem -- Applying Constraint Programming to the Multi-Mode Scheduling Problem in Harvest Logistics -- Tackling Uncertainty in Online Multimodal Transportation Planning using Deep Reinforcement Learning. |
Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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