This paper presents the design of a system for generating realistic problem instances for loading and unloading RoRo (roll-on roll-off)-ships in seaports. The generator can be configured according to problem-specific layouts and input data like the cargo types, stowage plan, size of the terminal areas and vessel, and distribution of specific travel times. Each thus generated instance represents a scenario in which a RoRo-ship arrives at the harbor to be loaded/unloaded. The resulting instances are viable inputs to test planning approaches and we shortly discuss their applications in static and dynamic decision-making.

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Design and Implementation of a Data-Driven Instance Generator for Loading and Unloading RoRo-Ships

  • Arne Heinold,
  • Teresa Marquardt,
  • Frank Meisel,
  • Catherine Cleophas

摘要

This paper presents the design of a system for generating realistic problem instances for loading and unloading RoRo (roll-on roll-off)-ships in seaports. The generator can be configured according to problem-specific layouts and input data like the cargo types, stowage plan, size of the terminal areas and vessel, and distribution of specific travel times. Each thus generated instance represents a scenario in which a RoRo-ship arrives at the harbor to be loaded/unloaded. The resulting instances are viable inputs to test planning approaches and we shortly discuss their applications in static and dynamic decision-making.