Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Dynamic and stochastic models for the allocation of empty containers
Operations Research
Heuristic algorithms for the multiple depot vehicle scheduling problem
Management Science
A DSS for empty container distribution planning
Decision Support Systems
Simulation Modeling and Analysis
Simulation Modeling and Analysis
A decision support system for operations in a container terminal
Decision Support Systems
Mobile commerce integrated with RFID technology in a container depot
Decision Support Systems
A comparison of five heuristics for the multiple depot vehicle scheduling problem
Journal of Scheduling
Empty container management in a port with long-run average criterion
Mathematical and Computer Modelling: An International Journal
Empty containers repositioning: a state of the art overview
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Enhancing operational efficiency of a container operator: a simulation optimization approach
Proceedings of the Winter Simulation Conference
Optimization of empty container movements using street-turn: Application to Valencia hinterland
Computers and Industrial Engineering
A decision support system for quayside operations in a container terminal
Decision Support Systems
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A DSS integrating empty and full containers transshipment operations is presented, addressing the typically unbalanced export/import containers trading problem. The problem is modeled as a network, where nodes represent customers, leasing companies, harbors and warehouses, while arcs represent transportation routes. The underlying mathematical model operates in stages, first prioritizing and adjusting full containers demands considering available empty containers supplies, and then statically optimizing costs. Transportation routes are registered and dynamically controlled, cyclically, for a given time horizon. The DSS is flexible, allowing several parameters to be configured. Experimental examples using randomly generated parameters were conducted to evaluate the effectiveness of the system.