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Titlebook: Complex Systems Design & Management; Proceedings of the T Guy André Boy,Alan Guegan,Vincent Vion Conference proceedings 2020 Springer Natur

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Einsatz und Wirkung von Medikamenten,ies, arising at different levels in a design process, may be aggregated to provide variations in the performance metrics of a complex system. The approach is illustrated through a case study based on a notional aircraft; the performances metric chosen for this example is the cruise fuel consumption.
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Huibert de Vries,Henk de Vries,Ilan Oshrins and with proven modeling-theories a new approach towards the modeling of System of Systems (SoS)-Architectures is needed. Therefore, this paper concerns the problems of modeling SoS-Architectures and investigates the possibility to combine domains and to map them to the SPES-Framework.
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Josef Wieland,Stephan Grüningerfiguration-controlled. A test model is assembled by combining the library blocks and Operational Scenarios are used to validate the assembled test model. The validated model and the associated libraries are delivered to the supplier, and form the basis for the system development.
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Managing the Complexity of Processing Financial Data at Scale - An Experience Reportveracity of the data we process, the infrastructure we operate, and the architecture we apply. We illustrate the load patterns created by trading and how the markets’ attention to the Brexit vote and similar events stressed our systems.
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Managing Margins Under Uncertainties Surrogate Modelling and Uncertainty Quantificationies, arising at different levels in a design process, may be aggregated to provide variations in the performance metrics of a complex system. The approach is illustrated through a case study based on a notional aircraft; the performances metric chosen for this example is the cruise fuel consumption.
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Dynamic Disruption Simulation in Large-Scale Urban Rail Transit Systemsdule still outperforms the non-optimized schedule even under demand uncertainty. This work ties into our ongoing project to find flexible strategies to enhance the system resilience by explicitly incorporating uncertainties into the design of rail system architectures and operational strategies.
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