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2022 | OriginalPaper | Buchkapitel

Container Flow Generation for Maritime Container Terminals

verfasst von : Marvin Kastner, Ole Grasse, Carlos Jahn

Erschienen in: Dynamics in Logistics

Verlag: Springer International Publishing

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Abstract

In maritime logistics, mathematical optimization and simulation are widely-used methods for solving planning problems and evaluating solutions. When putting these solutions to test, extensive and reliable data are urgently needed but constantly scarce. Since comprehensive real-life data are often not available or are classified as sensitive business data, synthetic data generation is a beneficial way to rectify this deficiency. Even institutions which already own comprehensive container flow data are dependent on synthetic data, due to the need to adapt and test their business models to uncertain future developments. A synthetic data generator that creates incoming and outgoing containers from the perspective of a maritime container terminal has already been proposed. However, since its publication more than 15 years have passed and the industry has changed. This justifies to rethink, rework, and improve the existing solution. This paper presents a synthetic container flow generator which allows the user to create synthetic but yet realistic data of container flows for maritime container terminals. After the introduction and motivation, this paper provides an overview about the state of the art of synthetic data generators. Then, the conceptual model of the generator is presented. Furthermore, an exemplary visual validation of the generated output data is shown. The paper closes with a discussion and outlook on planned future developments of the software.

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Literatur
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Metadaten
Titel
Container Flow Generation for Maritime Container Terminals
verfasst von
Marvin Kastner
Ole Grasse
Carlos Jahn
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-031-05359-7_11

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