@incollection{StengerAltherrAbel2019,
  author    = {Stenger, David and Altherr, Lena and Abel, Dirk},
  title     = {Machine learning and metaheuristics for black-box optimization of product families: a case-study investigating solution quality vs. computational overhead},
  series = {Operations Research Proceedings 2018},
  booktitle = {Operations Research Proceedings 2018},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-18499-5 (Print)},
  doi       = {10.1007/978-3-030-18500-8_47},
  pages     = {379 -- 385},
  year      = {2019},
  abstract  = {In product development, numerous design decisions have to be made. Multi-domain virtual prototyping provides a variety of tools to assess technical feasibility of design options, however often requires substantial computational effort for just a single evaluation. A special challenge is therefore the optimal design of product families, which consist of a group of products derived from a common platform. Finding an optimal platform configuration (stating what is shared and what is individually designed for each product) and an optimal design of all products simultaneously leads to a mixed-integer nonlinear black-box optimization model. We present an optimization approach based on metamodels and a metaheuristic. To increase computational efficiency and solution quality, we compare different types of Gaussian process regression metamodels adapted from the domain of machine learning, and combine them with a genetic algorithm. We illustrate our approach on the example of a product family of electrical drives, and investigate the trade-off between solution quality and computational overhead.},
  language  = {en}
}
@incollection{Sparla2019,
  author    = {Sparla, Peter},
  title     = {Vermessung},
  series = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb},
  booktitle = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-23127-9},
  doi       = {10.1007/978-3-658-23127-9_2},
  pages     = {13 -- 61},
  year      = {2019},
  language  = {de}
}
@incollection{SchmitzDietzeCzarnecki2019,
  author    = {Schmitz, Manfred and Dietze, Christian and Czarnecki, Christian},
  title     = {Enabling digital transformation through robotic process automation at Deutsche Telekom},
  series = {Enabling digital transformation through robotic process automation at Deutsche Telekom},
  booktitle = {Enabling digital transformation through robotic process automation at Deutsche Telekom},
  editor    = {Urbach, Nils and R{\"o}glinger, Maximilian},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-95272-7},
  doi       = {10.1007/978-3-319-95273-4_2},
  pages     = {15 -- 33},
  year      = {2019},
  abstract  = {Due to the high number of customer contacts, fault clearances, installations, and product provisioning per year, the automation level of operational processes has a significant impact on financial results, quality, and customer experience. Therefore, the telecommunications operator Deutsche Telekom (DT) has defined a digital strategy with the objectives of zero complexity and zero complaint, one touch, agility in service, and disruptive thinking. In this context, Robotic Process Automation (RPA) was identified as an enabling technology to formulate and realize DT's digital strategy through automation of rule-based, routine, and predictable tasks in combination with structured and stable data.},
  language  = {en}
}
@incollection{RaoPathroseHueningetal.2019,
  author    = {Rao, Deepak and Pathrose, Plato and H{\"u}ning, Felix and Sid, Jithin},
  title     = {An Approach for Validating Safety of Perception Software in Autonomous Driving Systems},
  series = {Model-Based Safety and Assessment: 6th International Symposium, IMBSA 2019, Thessaloniki, Greece, October 16-18, 2019, Proceedings},
  booktitle = {Model-Based Safety and Assessment: 6th International Symposium, IMBSA 2019, Thessaloniki, Greece, October 16-18, 2019, Proceedings},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-32872-6},
  doi       = {10.1007/978-3-030-32872-6_20},
  pages     = {303 -- 316},
  year      = {2019},
  abstract  = {The increasing complexity of Advanced Driver Assistance Systems (ADAS) presents a challenging task to validate safe and reliable performance of these systems under varied conditions. The test and validation of ADAS/AD with real test drives, although important, involves huge costs and time. Simulation tools provide an alternative with the added advantage of reproducibility but often use ideal sensors, which do not reflect real sensor output accurately. This paper presents a new validation methodology using fault injection, as recommended by the ISO 26262 standard, to test software and system robustness. In our work, we investigated and developed a tool capable of inserting faults at different software and system levels to verify its robustness. The scope of this paper is to cover the fault injection test for the Visteon's DriveCore™ system, a centralized domain controller for Autonomous driving which is sensor agnostic and SoC agnostic. With this new approach, the validation of safety monitoring functionality and its behavior can be tested using real-world data instead of synthetic data from simulation tools resulting in having better confidence in system performance before proceeding with in-vehicle testing.},
  language  = {en}
}
@incollection{PieronekKleefeld2019,
  author    = {Pieronek, Lukas and Kleefeld, Andreas},
  title     = {The Method of Fundamental Solutions for Computing Interior Transmission Eigenvalues of Inhomogeneous Media},
  series = {Integral Methods in Science and Engineering: Analytic Treatment and Numerical Approximations},
  booktitle = {Integral Methods in Science and Engineering: Analytic Treatment and Numerical Approximations},
  editor    = {Constanda, Christian and Harris, Paul},
  publisher = {Birkh{\"a}user},
  address   = {Cham},
  isbn      = {978-3-030-16077-7},
  doi       = {10.1007/978-3-030-16077-7_28},
  pages     = {353 -- 365},
  year      = {2019},
  abstract  = {The method of fundamental solutions is applied to the approximate computation of interior transmission eigenvalues for a special class of inhomogeneous media in two dimensions. We give a short approximation analysis accompanied with numerical results that clearly prove practical convenience of our alternative approach.},
  language  = {en}
}
@incollection{MeskourisButenwegHinzenetal.2019,
  author    = {Meskouris, Konstantin and Butenweg, Christoph and Hinzen, Klaus-G. and H{\"o}ffer, R{\"u}diger},
  title     = {Stochasticity of Wind Processes and Spectral Analysis of Structural Gust Response},
  series = {Structural Dynamics with Applications in Earthquake and Wind Engineering},
  booktitle = {Structural Dynamics with Applications in Earthquake and Wind Engineering},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-662-57550-5 (Online)},
  doi       = {10.1007/978-3-662-57550-5_3},
  pages     = {153 -- 196},
  year      = {2019},
  abstract  = {Wind loads have great impact on many engineering structures. Wind storms often cause irreparable damage to the buildings which are exposed to it. Along with the earthquakes, wind represents one of the most common environmental load on structures and is relevant for limit state design. Modern wind codes indicate calculation procedures allowing engineers to deal with structural systems, which are susceptible to conduct wind-excited oscillations. In the codes approximate formulas for wind buffeting are specified which relate the dynamic problem to rather abstract parameter functions. The complete theory behind is not visible in order to simplify the applicability of the procedures. This chapter derives the underlying basic relations of the spectral method for wind buffeting and explains the main important applications of it in order to elucidate part of the theoretical background of computations after the new codes. The stochasticity of the wind processes is addressed, and the analysis of analytical as well as measurement based power spectra is outlined. Short MATLAB codes are added to the Appendix 3 which carry out the computation of a single sided auto-spectrum from a statistically stationary, discrete stochastic process. Two examples are presented.},
  language  = {en}
}
@incollection{Martin2019,
  author    = {Martin, Joachim},
  title     = {Bemessung von Baukonstruktionen},
  series = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb},
  booktitle = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-23127-9},
  doi       = {10.1007/978-3-658-23127-9_1},
  pages     = {1 -- 11},
  year      = {2019},
  language  = {de}
}
@incollection{Martin2019,
  author    = {Martin, Joachim},
  title     = {Betriebsorganisation},
  series = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb},
  booktitle = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-23127-9},
  doi       = {10.1007/978-3-658-23127-9_10},
  pages     = {255 -- 272},
  year      = {2019},
  language  = {de}
}
@incollection{Lemke2019,
  author    = {Lemke, J{\"o}rg},
  title     = {Arbeitssicherheit},
  series = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb},
  booktitle = {{\"U}bungsaufgaben und Berechnungen f{\"u}r den Baubetrieb},
  publisher = {Springer Vieweg},
  address   = {Wiesbaden},
  isbn      = {978-3-658-23127-9},
  doi       = {10.1007/978-3-658-23127-9_12},
  pages     = {335 -- 344},
  year      = {2019},
  language  = {de}
}
@incollection{LeiseAltherrSimonetal.2019,
  author    = {Leise, Philipp and Altherr, Lena and Simon, Nicolai and Pelz, Peter F.},
  title     = {Finding global-optimal gearbox designs for battery electric vehicles},
  series = {Optimization of complex systems - theory, models, algorithms and applications : WCGO 2019},
  booktitle = {Optimization of complex systems - theory, models, algorithms and applications : WCGO 2019},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-21802-7},
  doi       = {10.1007/978-3-030-21803-4_91},
  pages     = {916 -- 925},
  year      = {2019},
  abstract  = {In order to maximize the possible travel distance of battery electric vehicles with one battery charge, it is mandatory to adjust all components of the powertrain carefully to each other. While current vehicle designs mostly simplify the powertrain rigorously and use an electric motor in combination with a gearbox with only one fixed transmission ratio, the use of multi-gear systems has great potential. First, a multi-speed system is able to improve the overall energy efficiency. Secondly, it is able to reduce the maximum momentum and therefore to reduce the maximum current provided by the traction battery, which results in a longer battery lifetime. In this paper, we present a systematic way to generate multi-gear gearbox designs that—combined with a certain electric motor—lead to the most efficient fulfillment of predefined load scenarios and are at the same time robust to uncertainties in the load. Therefore, we model the electric motor and the gearbox within a Mixed-Integer Nonlinear Program, and optimize the efficiency of the mechanical parts of the powertrain. By combining this mathematical optimization program with an unsupervised machine learning algorithm, we are able to derive global-optimal gearbox designs for practically relevant momentum and speed requirements.},
  language  = {en}
}