Rippel, Daniel Jathe, Nicolas Lütjen, Michael Szczerbicka, Helena Freitag, Michael
Year of Publication:
[Editor:] Jahn, Carlos [Editor:] Kersten, Wolfgang [Editor:] Ringle, Christian M. [Title:] Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 28 [ISBN:] 978-3-7502-4949-3 [Pages:] 25-54
Purpose: This article aims to identify common structural elements in the descriptions of both approaches, enabling the application of model transformations. Methodology: Several models of both types will be compared, combining relevant concepts, i.e., entities, attributes and relationships into a generalized model. In a second step, elements crucial to either type of model are identified. For the remaining elements, interdependencies and redundancies will be identified to enable a model reduction. Findings: While the structure and notation of both approaches are different, both describe the same fundamental concepts and relationships. The article provides a data model of these common concepts for the operational planning of offshore activities, including weather restrictions and forecasts. Originality: In current literature, there exist no approaches to combine mathematical optimization with event-discrete simulations in the context of offshore wind farm installations. To harness the advantages of both approaches in an integrated methodology, a model of common concepts is required, which does not exist at this time.
Offshore wind energy Operative installation planning Domain model Mathematical and simulation-based models