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  4. Model transformation framework for scheduling offshore logistics
 
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Model transformation framework for scheduling offshore logistics

Citation Link: https://doi.org/10.15480/882.3151
Publikationstyp
Conference Paper
Date Issued
2020-09
Sprache
English
Author(s)
Rippel, Daniel  
Peng, Shengrui  
Lütjen, Michael  
Sczcerbicka, Helena  
Freitag, Michael  
Herausgeber*innen
Jahn, Carlos  orcid-logo
Kersten, Wolfgang  orcid-logo
Ringle, Christian M.  orcid-logo
TORE-DOI
10.15480/882.3151
TORE-URI
http://hdl.handle.net/11420/8057
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL)  
Number in series
30
Volume
30
Start Page
521
End Page
552
Citation
Hamburg International Conference of Logistics (HICL) 30: 521-552 (2020)
Contribution to Conference
Hamburg International Conference of Logistics (HICL) 2020  
Publisher Link
https://www.epubli.de/shop/buch/Data-Science-in-Maritime-and-City-Logistics-Wolfgang-Kersten-9783753123479/106048
Publisher
epubli
Purpose: Wind energy is a promising technology to produce sustainable energy. While higher wind speeds at sea result in higher energy production, they also impede the installation of wind farms. Several authors proposed optimization- or simulation-based scheduling models. This article provides a framework to instantiate different models and discusses their advantages and disadvantages using selected models from the literature. Methodology: Building upon previous research, which deducted a common meta-model by analyzing current literature, the framework realizes this model using the OMG’s Essential Meta-Object Facility Standard. Moreover, the framework uses the OMG’s Model To Text Transformation Language for transformations to different models found in the literature and from previous work, to evaluate their behavior given the same base-scenario. Findings: The results show that the proposed framework achieves an instantiation of different model types, i.e., a mathematical optimization, a multi-agent simulation, and a Petri-Nets-based simulation. The discussion highlights the advantages of these types regarding speed, optimality, and flexibility. As the primary advantage, this framework allows investigating the installation on varying levels, focusing on local resources, processes, or the global system. Originality: This research aims to operationalize a common meta-model and model transformations between different model formulations by applying well-established standards to realize a basis for using these models during the planning and schedul-ing of offshore activities. To the authors’ best knowledge, no comparable work on the integration of different modeling techniques in the area of offshore logistics ex-ists.
Subjects
Logistics
Industry 4.0
Supply Chain Management
Sustainability
City Logistics
Maritime Logistics
Data Science
DDC Class
620: Ingenieurwissenschaften
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by-sa/4.0/
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