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

Arne Heinold (), Teresa Marquardt (), Frank Meisel () and Catherine Cleophas ()
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Arne Heinold: Kiel University
Teresa Marquardt: Kiel University
Frank Meisel: Kiel University
Catherine Cleophas: Kiel University

Chapter Chapter 30 in Operations Research Proceedings 2023, 2025, pp 233-239 from Springer

Abstract: Abstract 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.

Keywords: Roll-on roll-off ships; Instance generator; Port terminal operations (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-58405-3_30

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