Referierte Publikationen
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Artikel in Zeitschriften (referiert) [3]
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[Rip22a]
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Rippel, D.; Lütjen, M.; Szczerbicka, H.; Freitag, M.: Demand-Driven Supply of Offshore Wind Turbine Components by Cascading Simulation and Optimization. In: Simulation Notes Europe, 32(2022)3, pp. 151-159, DOI 10.11128/sne.32.tn.10615
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[Rip21b]
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Rippel, D.; Foroushani, F.A.; Lütjen, M.; Freitag, M.: A Crew Scheduling Model to Incrementally Optimize Workforce Assignments for Offshore Wind Farm Constructions. In: Energies, 14(2021)21, pp. 22, DOI 10.3390/en14216963
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[Rip19c]
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Rippel, D.; Jathe, N.; Lütjen, M.; Freitag, M.: Evaluation of Loading Bay Restrictions for the Installation of Offshore Wind Farms Using a Combination of Mixed-Integer Linear Programming and Model Predictive Control. In: Applied Sciences, 9(2019)23, pp. 30, DOI 10.3390/app9235030
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Konferenzbeiträge (referiert) [10]
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[Pen21]
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Peng, S.; Rippel, D.; Becker, M.; Szczerbicka, H.: Scheduling of Offshore Wind Farm Installation using Simulated Annealing. In: IFAC PapersOnLine 54(2021)1. Proc. of IFAC INCOM 2021, Elsevier, Amsterdam, 2021, pp. 325-330, DOI 10.1016/j.ifacol.2021.08.037
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[Rip21]
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Rippel, D.; Lütjen, M.; Sczerbicka, H.; Freitag, M.: A Cascading Online-Simulation Framework to Optimize Installation Cycles for Offshore Wind Farms. In: Kim, S.; Feng, B.; Smith, K.; Masoud, S.; Zheng, Z.; Szabo, C.; Loper, M. (eds.): Proceedings of the 2021 Winter Simulation Conference. IEEE, New York, 2021, pp. 12, DOI 10.1109/WSC52266.2021.9715285
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[Rip21a]
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Rippel, D.; Lütjen, M.; Szczerbicka, H.; Freitag, M.: Demand-Driven Resupply of Offshore Components by Cascading Simulation and Linear Optimization. In: Franke, J.; Schuderer, P. (eds.): Simulation in Produktion und Logistik 2021. Cuvillier Verlag, Göttingen, 2021, pp. 217-226
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[Pen20]
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Peng, S.; Rippel, D.; Lütjen, M.; Becker, M.; Szczerbicka, H.: Data-Based Simulation for Offshore Wind Farm Installation Scheduling Using Timed Petri Nets Approach. In: Proceedings of the 2020 Summer Simulation Conference. Society for Computer Simulation International, San Diego, 2020, pp. 56-67
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[Rip20a]
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Rippel, D.; Jathe, N.; Lütjen, M.; Freitag, M.: A Mixed-Integer Formulation to Optimize the Resupply of Components for the Installation of Offshore Wind Farms. In: Bae, K.-H.; Feng, B.; Kim, S.; Lazarova-Molnar, S.; Zheng, Z.; Roeder, T.; Thiesing, R. (eds.): Proceedings of the 2020 Winter Simulation Conference. IEEE, New York, 2020, pp. 1420-1431
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[Rip20b]
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Rippel, D.; Jathe, N.; Lütjen, M.; Freitag, M.: Base-port Capacity Optimization for the Installation of Offshore Wind Farms. In: Proceedings of the 2020 Summer Simulation Conference. Society for Computer Simulation International, San Diego, 2020, pp. 32-43
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[Rip20c]
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Rippel, D.; Peng, S.; Lütjen, M.; Szczerbicka, H.; Freitag, M.: Model Transformation Framework for Scheduling Offshore Logistics. In: Jahn, C.; Kersten, W.; Ringle, C. M. (eds.): Data Science in Maritime and City Logistics. Proceedings of the Hamburg International Conference of Logistics (HICL), epubli, Berlin, 2020, pp. 32, DOI 10.15480/882.3151
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[Rip19]
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Rippel, D.; Jathe, N.; Becker, M.; Lütjen, M.; Szczerbicka, H.; Freitag, M.: A Review on the Planning Problem for the Installation of Offshore Wind Farms. In: Dolgui, A.; Ivanov, I.; Yalaoui, F. (eds.): IFAC PapersOnLine 52(2019)13. Proc. of IFAC MIM 2019, Elsevier, Amsterdam, 2019, pp. 13371342, DOI 10.1016/j.ifacol.2019.11.384
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[Rip19a]
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Rippel, D.; Jathe, N.; Lütjen, M.; Sczcerbicka, H.; Freitag, M.: Simulation and Optimization of Operations for Offshore Installations Planning Using a Model Predictive Control Scheme. In: Mustafee, N.; Bae, K.-H.G.; Lazarova-Molnar, S.; Rabe, M.; Szabo, C.; Haas, P.; Son, Y.-J. (eds.): Proceedings of the 2019 Winter Simulation Conference. IEEE, New York, USA, 2019, pp. 1719-1730
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[Rip19b]
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Rippel, D.; Jathe, N.; Lütjen, M.; Szczerbicka, H.; Freitag, M.: Integrated Domain Model for Operative Offshore Installation Planning. In: Jahn, C.; Kersten, W.; Ringle C.M. (eds.): Proceedings of the Hamburg International Conference of Logistics (HICL 2019). Digital Transformation in Maritime and City Logistics, epubli, Berlin, 2019, pp. 25-54, DOI 10.15480/882.2461
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