Computational Logistics 4th International Conference, ICCL 2013, Copenhagen, Denmark, September 25-27, 2013. Proceedings / [electronic resource] :
edited by Dario Pacino, Stefan Voß, Rune Møller Jensen.
- Berlin, Heidelberg : Springer Berlin Heidelberg, 2013.
- 1 online resource (X, 269 p. 72 ill.)
- Lecture Notes in Computer Science, 8197 0302-9743 ; .
Hierarchical Control of Equipment in Automated Container Terminals -- A Node Flow Model for the Inflexible Visitation Liner Shipping Fleet Repositioning Problem with Cargo Flows -- An LNS Approach for Container Stowage Multi-port Master Planning -- How Will the Marine Emissions Trading Scheme Influence the Profit and CO2 Emissions of a Containership -- Dynamic Routing on OpenStreetMap Using Ant Colonies -- On the Complexity of Computing Optimal Private Park-and-Ride Plans -- Predicting Road Accidents Based on Current and Historical Spatio-temporal Traffic Flow Data -- An Integrated Simulation and Business Intelligence Framework for Designing and Planning Demand Responsive Transport Systems -- A Model for the Coordination of 20-foot and 40-foot Container Movements in the Hinterland of a Container Terminal -- Dynamic Collaborative Transportation Planning: A Rolling Horizon Planning Approach -- A GRASP for a Multi-depot Multi-commodity Pickup and Delivery Problem with Time Windows and Heterogeneous Fleet in the Bottled Beverage Industry -- TSP with Multiple Time-Windows and Selective Cities -- An Application of Late Acceptance Hill-Climbing to the Traveling Purchaser Problem -- Airport Gate Assignment Considering Ground Movement -- Comparing Revenue Optimization Models for Low Cost Carriers Supporting Connecting Flights - A Case Study -- From Preparedness to Recovery: A Tri-Level Programming Model for Disaster Relief Planning -- Throughput Evaluation of Buffered Unreliable Production Lines with Machines Having Multiple Failure Modes -- Towards Real-Time Data Acquisition for Simulation of Logistics Service Systems -- Column Generation Based Heuristic for the Three Dimensional Vehicle Loading Problem.