Rippel, DanielDanielRippelJathe, NicolasNicolasJatheLütjen, MichaelMichaelLütjenSzczerbicka, HelenaHelenaSzczerbickaFreitag, MichaelMichaelFreitag2019-11-132019-11-132019-09-26Hamburg International Conference of Logistics (HICL) 28: 25-54 (2019)http://hdl.handle.net/11420/3761Purpose: 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.en20192554epubli GmbHhttps://creativecommons.org/licenses/by-sa/4.0/Offshore wind energyOperative installation planningDomain modelMathematical and simulation-based modelsInformatikWirtschaftHandel, Kommunikation, VerkehrConference Paperurn:nbn:de:gbv:830-882.05457110.15480/882.2488https://www.epubli.de/shop/buch/Digital-Transformation-in-Maritime-and-City-Logistics-Christian-M-Ringle-Wolfgang-Kersten-Carlos-Jahn-9783750249493/9209710.15480/882.2488Conference Paper