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Computational logistics : 13th International Conference, ICCL 2022, Barcelona, Spain, September 21-23, 2022, proceedings / / Jesica de Armas, Helena Ramalhinho and Stefan Voß, editors
Computational logistics : 13th International Conference, ICCL 2022, Barcelona, Spain, September 21-23, 2022, proceedings / / Jesica de Armas, Helena Ramalhinho and Stefan Voß, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Descrizione fisica 1 online resource (479 pages)
Disciplina 658.7
Collana Lecture notes in computer science
Soggetto topico Computer programs - Execution - Management
Management information systems
Business logistics - Data processing
ISBN 3-031-16579-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Maritime and Port Logistics -- Hybrid Berth Allocation for Bulk Ports with Unavailability and Stock Level Constraints -- 1 Introduction -- 2 Related Work -- 3 Model Formulation -- 3.1 Problem Description -- 3.2 Notation -- 3.3 Model -- 4 Numerical Experiments -- 4.1 Generation of Instances -- 4.2 Results Analysis and Discussion -- 4.3 Managerial Insights and Policy Implications -- 5 Conclusions -- References -- A Self-adaptive Hybrid Search Technique with Its Application to the Quadratic Semi-assignment and Berth Allocation Problems -- 1 Introduction -- 2 Problem Formulation -- 3 Related Work -- 4 The SACA -- 4.1 Solution Encoding -- 4.2 The Integration of a Best-Improvement and a Regret-Based Construction Method -- 4.3 The Integration of Regret-Based and Ranked-Based Crossover Operators -- 4.4 The Local Search -- 4.5 The Perturbation Method -- 4.6 The Facilitating Heap-Based Module -- 4.7 The Managing Self-adaptive Module -- 5 Computational Experiments -- 6 Concluding Remarks -- References -- The Multi-port Continuous Berth Allocation Problem with Speed Optimization -- 1 Introduction -- 2 Problem Formulation -- 2.1 Network-Flow Formulation -- 2.2 Set Partitioning Formulation -- 3 Solution Method -- 3.1 Branching -- 3.2 Computing Bounds -- 4 Results -- 4.1 Instance Generation -- 4.2 Comparison of Exact Methods -- 5 Conclusion -- References -- Optimization of a Ship-Based Logistics System for Carbon Capture and Storage -- 1 Introduction -- 2 Problem Definition -- 3 Mathematical Model -- 3.1 Modeling Approach and Notation -- 3.2 Model Formulation -- 4 Computational Study -- 4.1 Case Study and Input Data -- 4.2 Results -- 5 Concluding Remarks -- References -- A Linear Time Algorithm for Optimal Quay Crane Scheduling -- 1 Introduction -- 2 Container Terminals -- 3 Literature Review.
4 Problem Definition -- 5 Problem Complexity -- 5.1 Makespan Lower Bounds -- 5.2 The CreateSchedule Algorithm -- 5.3 Correctness Proof -- 5.4 Extensions of the QCSP -- 6 Conclusion -- References -- Impact of Rubber-Tired Gantry Crane Dimension on Container Terminal Productivity -- 1 Introduction -- 2 Theoretical Background -- 3 Method -- 3.1 Method to Estimate Stacking Density -- 3.2 Method to Estimate Yard Productivity -- 4 Results and Discussion -- 4.1 Estimated Stacking Density -- 4.2 Estimated Yard Productivity -- 5 Conclusion and Outlook -- References -- Vehicle Routing and Urban Logistics -- Fleet Size Control in First-Mile Ride-Sharing Problems -- 1 Introduction -- 2 Problem Description and Mathematical Model -- 3 Numerical Experiment -- 3.1 Instance Generation -- 3.2 Results -- 3.3 Solution Time -- 4 Conclusion -- References -- ILS-RVND Algorithm for Multi-trip Pickup and Delivery Problem, with Split Loads, Profits and Multiple Time Windows -- 1 Introduction -- 2 Problem Description -- 3 Solution Approaches -- 3.1 Iterated Local Search Algorithm -- 3.2 ILS-RVND -- 4 Computational Experiments and Discussion -- 5 Conclusion -- References -- The Biobjective Consistent Traveling Salesman Problem -- 1 Introduction -- 2 Problem Definition -- 3 Mathematical Formulations -- 4 Preliminary Computational Results -- 5 Conclusions -- References -- Optimized Dispatch of Fire and Rescue Resources -- 1 Introduction -- 2 Problem Statement and Mathematical Model -- 2.1 Alarm Plans -- 2.2 A Staffing and Dispatch Problem -- 2.3 A Mathematical Model -- 3 Solution Strategy -- 3.1 Exact Solutions -- 3.2 A Backup Greedy Heuristic -- 4 Computational Results -- 5 Using the Model -- 6 Conclusions -- References -- Industrial Waste Collection Optimization: A Real-World Case Study in Northern Italy -- 1 Introduction -- 2 Problem Description -- 3 Mathematical Model.
4 Iterated Greedy Algorithm -- 5 Computational Results -- 6 Conclusions -- References -- Solving a School Bus Routing Problem in Rural Areas: An Application in Brazil -- 1 Introduction -- 2 Problem Description -- 3 Literature Review -- 3.1 School Bus Routing Problem -- 3.2 Iterated Local Search -- 4 Solution Approach -- 5 Application -- 5.1 Scenario -- 5.2 Data Collection and Treatment -- 5.3 Computational Experiments -- 6 Conclusions and Future Works -- References -- Hinterland Intermodal Transport Routing as an Added Value Tool for Port Community Systems: A Colombian Case Study -- 1 Introduction -- 2 Colombian Hinterland Freight Transport -- 2.1 Road Transport -- 2.2 River Transport -- 2.3 Environmental Impact -- 2.4 Intermodal Freight Transport -- 3 Related Work -- 4 Model Description -- 4.1 Transport Network Description -- 4.2 Model Assumptions -- 4.3 Notations -- 4.4 Objective Function -- 4.5 Constraints -- 4.6 Data -- 4.7 Results -- 5 Generic System Design (Hinterland Transport Module Design) -- 5.1 Service Oriented Architecture -- 5.2 Proposed Prototype -- 6 Conclusion -- References -- Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery -- 1 Introduction -- 2 Model Framework -- 2.1 Modelling Environment -- 3 Formulation -- 3.1 Mixed-Integer Linear Programming Approach -- 3.2 Dynamic Programming Approach -- 3.3 First-In-First-Out Approach -- 3.4 Path Planning Formulation -- 4 Case Study and Simulation -- 5 Conclusions and Further Work -- References -- Dynamic Time Slot Pricing Using Delivery Costs Approximations -- 1 Introduction -- 2 Literature -- 3 Problem Formulation -- 3.1 Problem Characteristics -- 3.2 Customer Choice Model -- 3.3 Determining Transportation Costs -- 4 Solution Approach -- 4.1 Cheapest Insertion Transportation Cost Approximation.
4.2 Regression-Based Transportation Costs Approximation -- 4.3 Obtaining Training Data -- 4.4 Simple Incentive Policy -- 5 Case Studies -- 5.1 Synthetic Case -- 5.2 European E-grocery Retailer -- 6 Computational Experiments -- 6.1 Results for the Synthetic Case -- 6.2 Results for the European E-grocery Retailer -- 7 Conclusions -- References -- The Green Sequencing and Routing Problem -- 1 Introduction -- 2 The Green SRP -- 3 Mathematical Formulation -- 4 Matheuristic Resolution Approach -- 5 Numerical Experiments -- 5.1 The Reference Case Study -- 5.2 Computational Results -- 6 Conclusions -- References -- The Long-Haul Transportation Problem with Refueling Deviations and Time-Dependent Travel Time -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Model -- 3.2 Heuristic Algorithm -- 4 Computational Experiments -- 4.1 Experimental Setting -- 4.2 Numerical Results -- 5 Conclusions -- References -- The Dynamic Drone Scheduling Delivery Problem -- 1 Introduction -- 2 Literature Review -- 3 Mathematical Model -- 3.1 Problem Description -- 3.2 Markov Decision Process Formulation -- 4 Reinforcement Learning Approach -- 5 Numerical Experiments -- 5.1 Experimental Design -- 5.2 Comparison of the RL Approach with Heuristic Strategies -- 5.3 Experiments on Different Instance Scenarios for the RL Approach -- 6 Conclusions -- References -- Integrating Clustering Methodologies and Routing Optimization Algorithms for Last-Mile Parcel Delivery -- 1 Introduction -- 2 Solution Approach: Algorithm and Parameters -- 2.1 Solution Algorithm -- 2.2 Two-dimensional k-Means Clustering Algorithm -- 2.3 Local Search Operators -- 3 Computational Results -- 4 Conclusions and Perspectives -- References -- Warehousing and Location -- SLAPStack: A Simulation Framework and a Large-Scale Benchmark Use Case for Autonomous Block Stacking Warehouses -- 1 Introduction.
2 Related Work -- 3 SLAPStack Simulation Framework -- 3.1 Inputs and Initialization -- 3.2 Step and Event Management -- 3.3 State Management Mechanisms and Routing -- 4 WEPAStacks Benchmark -- 4.1 Warehouse Setup -- 4.2 Dataset and Assumptions -- 5 Experiments -- 5.1 Experiment Setup -- 5.2 Results -- 6 Conclusion -- References -- Locating Hydrogen Production in Norway Under Uncertainty -- 1 Introduction -- 2 Related Work -- 3 The Mathematical Programming Model -- 3.1 Problem Description -- 3.2 Mathematical Formulation -- 4 Solution Approach -- 5 Case Study -- 5.1 Facilities and Production -- 5.2 Demand -- 6 Computational Results -- 7 Conclusion -- References -- Oblivious Stacking and MAX k-CUT for Circle Graphs -- 1 Introduction -- 1.1 Related Work -- 1.2 Contribution -- 2 Preliminaries -- 2.1 The Problem -- 2.2 The Instance Model -- 2.3 The Algorithm -- 3 Analysis of the Scheinerman Model -- 4 Analysis of the Extended Scheinerman Model -- References -- How Can a Refrigerated Warehouse Be Used to Store Energy? -- 1 Introduction -- 2 Literature Review -- 3 Model Description -- 3.1 Temperature Model -- 3.2 Electricity Price Forecast -- 3.3 Explanation of Control Options -- 4 Evaluation -- 5 Conclusion -- References -- CrossLog: Automatic Mixed-Palletizing for Cross-Docking Logistics Centers -- 1 Introduction -- 2 Problem Description -- 3 Related Work -- 4 Solution Approach -- 4.1 Packing and Compaction Phase -- 4.2 Second Variant Assignment of Boxes -- 5 Computational Experiments -- 5.1 Instance Characteristics -- 5.2 Results -- 5.3 Examples of Palletized Instances -- 6 Conclusions -- References -- Supply Chain and Production Management -- A Framework on Centralised to Decentralised Logistics Control Structures Applied in Two Case Studies -- 1 Introduction -- 2 Background -- 3 Methodology and Research Setup -- 3.1 Interviews and Brainstorming Sessions.
3.2 Case Studies and Simulation Models.
Record Nr. UNISA-996490364003316
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational logistics : 13th International Conference, ICCL 2022, Barcelona, Spain, September 21-23, 2022, proceedings / / Jesica de Armas, Helena Ramalhinho and Stefan Voß, editors
Computational logistics : 13th International Conference, ICCL 2022, Barcelona, Spain, September 21-23, 2022, proceedings / / Jesica de Armas, Helena Ramalhinho and Stefan Voß, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Descrizione fisica 1 online resource (479 pages)
Disciplina 658.7
Collana Lecture notes in computer science
Soggetto topico Computer programs - Execution - Management
Management information systems
Business logistics - Data processing
ISBN 3-031-16579-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Maritime and Port Logistics -- Hybrid Berth Allocation for Bulk Ports with Unavailability and Stock Level Constraints -- 1 Introduction -- 2 Related Work -- 3 Model Formulation -- 3.1 Problem Description -- 3.2 Notation -- 3.3 Model -- 4 Numerical Experiments -- 4.1 Generation of Instances -- 4.2 Results Analysis and Discussion -- 4.3 Managerial Insights and Policy Implications -- 5 Conclusions -- References -- A Self-adaptive Hybrid Search Technique with Its Application to the Quadratic Semi-assignment and Berth Allocation Problems -- 1 Introduction -- 2 Problem Formulation -- 3 Related Work -- 4 The SACA -- 4.1 Solution Encoding -- 4.2 The Integration of a Best-Improvement and a Regret-Based Construction Method -- 4.3 The Integration of Regret-Based and Ranked-Based Crossover Operators -- 4.4 The Local Search -- 4.5 The Perturbation Method -- 4.6 The Facilitating Heap-Based Module -- 4.7 The Managing Self-adaptive Module -- 5 Computational Experiments -- 6 Concluding Remarks -- References -- The Multi-port Continuous Berth Allocation Problem with Speed Optimization -- 1 Introduction -- 2 Problem Formulation -- 2.1 Network-Flow Formulation -- 2.2 Set Partitioning Formulation -- 3 Solution Method -- 3.1 Branching -- 3.2 Computing Bounds -- 4 Results -- 4.1 Instance Generation -- 4.2 Comparison of Exact Methods -- 5 Conclusion -- References -- Optimization of a Ship-Based Logistics System for Carbon Capture and Storage -- 1 Introduction -- 2 Problem Definition -- 3 Mathematical Model -- 3.1 Modeling Approach and Notation -- 3.2 Model Formulation -- 4 Computational Study -- 4.1 Case Study and Input Data -- 4.2 Results -- 5 Concluding Remarks -- References -- A Linear Time Algorithm for Optimal Quay Crane Scheduling -- 1 Introduction -- 2 Container Terminals -- 3 Literature Review.
4 Problem Definition -- 5 Problem Complexity -- 5.1 Makespan Lower Bounds -- 5.2 The CreateSchedule Algorithm -- 5.3 Correctness Proof -- 5.4 Extensions of the QCSP -- 6 Conclusion -- References -- Impact of Rubber-Tired Gantry Crane Dimension on Container Terminal Productivity -- 1 Introduction -- 2 Theoretical Background -- 3 Method -- 3.1 Method to Estimate Stacking Density -- 3.2 Method to Estimate Yard Productivity -- 4 Results and Discussion -- 4.1 Estimated Stacking Density -- 4.2 Estimated Yard Productivity -- 5 Conclusion and Outlook -- References -- Vehicle Routing and Urban Logistics -- Fleet Size Control in First-Mile Ride-Sharing Problems -- 1 Introduction -- 2 Problem Description and Mathematical Model -- 3 Numerical Experiment -- 3.1 Instance Generation -- 3.2 Results -- 3.3 Solution Time -- 4 Conclusion -- References -- ILS-RVND Algorithm for Multi-trip Pickup and Delivery Problem, with Split Loads, Profits and Multiple Time Windows -- 1 Introduction -- 2 Problem Description -- 3 Solution Approaches -- 3.1 Iterated Local Search Algorithm -- 3.2 ILS-RVND -- 4 Computational Experiments and Discussion -- 5 Conclusion -- References -- The Biobjective Consistent Traveling Salesman Problem -- 1 Introduction -- 2 Problem Definition -- 3 Mathematical Formulations -- 4 Preliminary Computational Results -- 5 Conclusions -- References -- Optimized Dispatch of Fire and Rescue Resources -- 1 Introduction -- 2 Problem Statement and Mathematical Model -- 2.1 Alarm Plans -- 2.2 A Staffing and Dispatch Problem -- 2.3 A Mathematical Model -- 3 Solution Strategy -- 3.1 Exact Solutions -- 3.2 A Backup Greedy Heuristic -- 4 Computational Results -- 5 Using the Model -- 6 Conclusions -- References -- Industrial Waste Collection Optimization: A Real-World Case Study in Northern Italy -- 1 Introduction -- 2 Problem Description -- 3 Mathematical Model.
4 Iterated Greedy Algorithm -- 5 Computational Results -- 6 Conclusions -- References -- Solving a School Bus Routing Problem in Rural Areas: An Application in Brazil -- 1 Introduction -- 2 Problem Description -- 3 Literature Review -- 3.1 School Bus Routing Problem -- 3.2 Iterated Local Search -- 4 Solution Approach -- 5 Application -- 5.1 Scenario -- 5.2 Data Collection and Treatment -- 5.3 Computational Experiments -- 6 Conclusions and Future Works -- References -- Hinterland Intermodal Transport Routing as an Added Value Tool for Port Community Systems: A Colombian Case Study -- 1 Introduction -- 2 Colombian Hinterland Freight Transport -- 2.1 Road Transport -- 2.2 River Transport -- 2.3 Environmental Impact -- 2.4 Intermodal Freight Transport -- 3 Related Work -- 4 Model Description -- 4.1 Transport Network Description -- 4.2 Model Assumptions -- 4.3 Notations -- 4.4 Objective Function -- 4.5 Constraints -- 4.6 Data -- 4.7 Results -- 5 Generic System Design (Hinterland Transport Module Design) -- 5.1 Service Oriented Architecture -- 5.2 Proposed Prototype -- 6 Conclusion -- References -- Integrated Path Planning and Task Assignment Model for On-Demand Last-Mile UAV-Based Delivery -- 1 Introduction -- 2 Model Framework -- 2.1 Modelling Environment -- 3 Formulation -- 3.1 Mixed-Integer Linear Programming Approach -- 3.2 Dynamic Programming Approach -- 3.3 First-In-First-Out Approach -- 3.4 Path Planning Formulation -- 4 Case Study and Simulation -- 5 Conclusions and Further Work -- References -- Dynamic Time Slot Pricing Using Delivery Costs Approximations -- 1 Introduction -- 2 Literature -- 3 Problem Formulation -- 3.1 Problem Characteristics -- 3.2 Customer Choice Model -- 3.3 Determining Transportation Costs -- 4 Solution Approach -- 4.1 Cheapest Insertion Transportation Cost Approximation.
4.2 Regression-Based Transportation Costs Approximation -- 4.3 Obtaining Training Data -- 4.4 Simple Incentive Policy -- 5 Case Studies -- 5.1 Synthetic Case -- 5.2 European E-grocery Retailer -- 6 Computational Experiments -- 6.1 Results for the Synthetic Case -- 6.2 Results for the European E-grocery Retailer -- 7 Conclusions -- References -- The Green Sequencing and Routing Problem -- 1 Introduction -- 2 The Green SRP -- 3 Mathematical Formulation -- 4 Matheuristic Resolution Approach -- 5 Numerical Experiments -- 5.1 The Reference Case Study -- 5.2 Computational Results -- 6 Conclusions -- References -- The Long-Haul Transportation Problem with Refueling Deviations and Time-Dependent Travel Time -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Model -- 3.2 Heuristic Algorithm -- 4 Computational Experiments -- 4.1 Experimental Setting -- 4.2 Numerical Results -- 5 Conclusions -- References -- The Dynamic Drone Scheduling Delivery Problem -- 1 Introduction -- 2 Literature Review -- 3 Mathematical Model -- 3.1 Problem Description -- 3.2 Markov Decision Process Formulation -- 4 Reinforcement Learning Approach -- 5 Numerical Experiments -- 5.1 Experimental Design -- 5.2 Comparison of the RL Approach with Heuristic Strategies -- 5.3 Experiments on Different Instance Scenarios for the RL Approach -- 6 Conclusions -- References -- Integrating Clustering Methodologies and Routing Optimization Algorithms for Last-Mile Parcel Delivery -- 1 Introduction -- 2 Solution Approach: Algorithm and Parameters -- 2.1 Solution Algorithm -- 2.2 Two-dimensional k-Means Clustering Algorithm -- 2.3 Local Search Operators -- 3 Computational Results -- 4 Conclusions and Perspectives -- References -- Warehousing and Location -- SLAPStack: A Simulation Framework and a Large-Scale Benchmark Use Case for Autonomous Block Stacking Warehouses -- 1 Introduction.
2 Related Work -- 3 SLAPStack Simulation Framework -- 3.1 Inputs and Initialization -- 3.2 Step and Event Management -- 3.3 State Management Mechanisms and Routing -- 4 WEPAStacks Benchmark -- 4.1 Warehouse Setup -- 4.2 Dataset and Assumptions -- 5 Experiments -- 5.1 Experiment Setup -- 5.2 Results -- 6 Conclusion -- References -- Locating Hydrogen Production in Norway Under Uncertainty -- 1 Introduction -- 2 Related Work -- 3 The Mathematical Programming Model -- 3.1 Problem Description -- 3.2 Mathematical Formulation -- 4 Solution Approach -- 5 Case Study -- 5.1 Facilities and Production -- 5.2 Demand -- 6 Computational Results -- 7 Conclusion -- References -- Oblivious Stacking and MAX k-CUT for Circle Graphs -- 1 Introduction -- 1.1 Related Work -- 1.2 Contribution -- 2 Preliminaries -- 2.1 The Problem -- 2.2 The Instance Model -- 2.3 The Algorithm -- 3 Analysis of the Scheinerman Model -- 4 Analysis of the Extended Scheinerman Model -- References -- How Can a Refrigerated Warehouse Be Used to Store Energy? -- 1 Introduction -- 2 Literature Review -- 3 Model Description -- 3.1 Temperature Model -- 3.2 Electricity Price Forecast -- 3.3 Explanation of Control Options -- 4 Evaluation -- 5 Conclusion -- References -- CrossLog: Automatic Mixed-Palletizing for Cross-Docking Logistics Centers -- 1 Introduction -- 2 Problem Description -- 3 Related Work -- 4 Solution Approach -- 4.1 Packing and Compaction Phase -- 4.2 Second Variant Assignment of Boxes -- 5 Computational Experiments -- 5.1 Instance Characteristics -- 5.2 Results -- 5.3 Examples of Palletized Instances -- 6 Conclusions -- References -- Supply Chain and Production Management -- A Framework on Centralised to Decentralised Logistics Control Structures Applied in Two Case Studies -- 1 Introduction -- 2 Background -- 3 Methodology and Research Setup -- 3.1 Interviews and Brainstorming Sessions.
3.2 Case Studies and Simulation Models.
Record Nr. UNINA-9910595055503321
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Logistics [[electronic resource] ] : 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings / / edited by Martijn Mes, Eduardo Lalla-Ruiz, Stefan Voß
Computational Logistics [[electronic resource] ] : 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings / / edited by Martijn Mes, Eduardo Lalla-Ruiz, Stefan Voß
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (667 pages)
Disciplina 658.054678
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer engineering
Computer networks
Computer science - Mathematics
Artificial intelligence
Design and Analysis of Algorithms
Computer Engineering and Networks
Mathematics of Computing
Artificial Intelligence
ISBN 3-030-87672-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996464427003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Logistics : 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings / / edited by Martijn Mes, Eduardo Lalla-Ruiz, Stefan Voß
Computational Logistics : 12th International Conference, ICCL 2021, Enschede, The Netherlands, September 27–29, 2021, Proceedings / / edited by Martijn Mes, Eduardo Lalla-Ruiz, Stefan Voß
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (667 pages)
Disciplina 658.054678
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Computer engineering
Computer networks
Computer science—Mathematics
Artificial intelligence
Design and Analysis of Algorithms
Computer Engineering and Networks
Mathematics of Computing
Artificial Intelligence
ISBN 3-030-87672-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910502992203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Logistics [[electronic resource] ] : 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings / / edited by Eduardo Lalla-Ruiz, Martijn Mes, Stefan Voß
Computational Logistics [[electronic resource] ] : 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings / / edited by Eduardo Lalla-Ruiz, Martijn Mes, Stefan Voß
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIII, 780 p. 238 illus.)
Disciplina 658.054678
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Artificial intelligence
Computer networks
Computer systems
Data structures (Computer science)
Information theory
Design and Analysis of Algorithms
Artificial Intelligence
Computer Communication Networks
Computer System Implementation
Data Structures and Information Theory
ISBN 3-030-59747-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Maritime and port logistics -- Vehicle routing and scheduling -- Freight distribution and city logistics -- Network design and scheduling.
Record Nr. UNISA-996418299703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Logistics : 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings / / edited by Eduardo Lalla-Ruiz, Martijn Mes, Stefan Voß
Computational Logistics : 11th International Conference, ICCL 2020, Enschede, The Netherlands, September 28–30, 2020, Proceedings / / edited by Eduardo Lalla-Ruiz, Martijn Mes, Stefan Voß
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIII, 780 p. 238 illus.)
Disciplina 658.054678
Collana Theoretical Computer Science and General Issues
Soggetto topico Algorithms
Artificial intelligence
Computer networks
Computer systems
Data structures (Computer science)
Information theory
Design and Analysis of Algorithms
Artificial Intelligence
Computer Communication Networks
Computer System Implementation
Data Structures and Information Theory
ISBN 3-030-59747-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Maritime and port logistics -- Vehicle routing and scheduling -- Freight distribution and city logistics -- Network design and scheduling.
Record Nr. UNINA-9910427711803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui