@inproceedings{33957,
  abstract     = {{Manufacturing companies are challenged to make the increasingly complex work processes equally manageable for all employees to prevent an impending loss of competence. In this contribution, an intelligent assistance system is proposed enabling employees to help themselves in the workplace and provide them with competence-related support. This results in increasing the short- and long-term efficiency of problem solving in companies.}},
  author       = {{Deppe, Sahar and Brandt, Lukas and Brünninghaus, Marc and Papenkordt, Jörg and Heindorf, Stefan and Tschirner-Vinke, Gudrun}},
  keywords     = {{Assistance system, Knowledge graph, Information retrieval, Neural networks, AR}},
  location     = {{Stuttgart}},
  title        = {{{AI-Based Assistance System for Manufacturing}}},
  doi          = {{10.1109/ETFA52439.2022.9921520}},
  year         = {{2022}},
}

@article{32565,
  abstract     = {{The family plays an important role in adolescents’ social development. Yet there is little information about the impact of family climate on adolescents’ social adaptation, and the term “family climate” is seldom clearly defined and is usually related to other concepts, such as family systems or family environments. To understand the core of family climate, this study conducted a systematic review to analyze research about family climate associated with adolescents’ social adaptation in community samples. A search of empirical research published over the last 20 years identified 12 relevant studies. The studies revealed that family climate can mainly be described in terms of cohesion, conflict, organization, adaptability, and expressiveness. Family climate was shown to be a good predictor of both problem-solving skills and violence in relationships and exhibited further associations with other aspects of social adaptation. This review revealed a need for more systematic and longitudinal research on family climate in community samples.}},
  author       = {{Kurock, Ricarda and Gruchel, Nicole and Bonanati, Sabrina and Buhl, Heike M.}},
  issn         = {{2363-8346}},
  journal      = {{Adolescent Research Review}},
  keywords     = {{Family environment, Family system, Adolescents, Social adaptation, Systematic review}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Family Climate and Social Adaptation of Adolescents in Community Samples: A Systematic Review}}},
  doi          = {{10.1007/s40894-022-00189-2}},
  year         = {{2022}},
}

@inproceedings{26539,
  abstract     = {{In control design most control strategies are model-based and require accurate models to be applied successfully. Due to simplifications and the model-reality-gap physics-derived models frequently exhibit deviations from real-world-systems. Likewise, purely data-driven methods often do not generalise well enough and may violate physical laws. Recently Physics-Guided Neural Networks (PGNN) and physics-inspired loss functions separately have shown promising results to conquer these drawbacks. In this contribution we extend existing methods towards the identification of non-autonomous systems and propose a combined approach PGNN-L, which uses a PGNN and a physics-inspired loss term (-L) to successfully identify the system's dynamics, while maintaining the consistency with physical laws. The proposed method is demonstrated on two real-world nonlinear systems and outperforms existing techniques regarding complexity and reliability.}},
  author       = {{Götte, Ricarda-Samantha and Timmermann, Julia}},
  booktitle    = {{2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC)}},
  keywords     = {{data-driven, physics-based, physics-informed, neural networks, system identification, hybrid modelling}},
  location     = {{Cairo, Egypt}},
  pages        = {{67--76}},
  title        = {{{Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering}}},
  doi          = {{10.1109/AIRC56195.2022.9836982}},
  year         = {{2022}},
}

@inproceedings{31066,
  abstract     = {{While trade-offs between modeling effort and model accuracy remain a major concern with system identification, resorting to data-driven methods often leads to a complete disregard for physical plausibility. To address this issue, we propose a physics-guided hybrid approach for modeling non-autonomous systems under control. Starting from a traditional physics-based model, this is extended by a recurrent neural network and trained using a sophisticated multi-objective strategy yielding physically plausible models. While purely data-driven methods fail to produce satisfying results, experiments conducted on real data reveal substantial accuracy improvements by our approach compared to a physics-based model. }},
  author       = {{Schön, Oliver and Götte, Ricarda-Samantha and Timmermann, Julia}},
  booktitle    = {{14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022)}},
  keywords     = {{neural networks, physics-guided, data-driven, multi-objective optimization, system identification, machine learning, dynamical systems}},
  location     = {{Casablanca, Morocco}},
  number       = {{12}},
  pages        = {{19--24}},
  title        = {{{Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems}}},
  doi          = {{https://doi.org/10.1016/j.ifacol.2022.07.282}},
  volume       = {{55}},
  year         = {{2022}},
}

@article{22510,
  abstract     = {{Over the past decades, the Gathering problem, which asks to gather a group of robots in finite time given some restrictions, has been intensively studied. In this paper, we are given a group of n autonomous, dimensionless, deterministic, and anonymous robots, with bounded viewing range. Assuming a continuous time model, the goal is to gather these robots into one point in finite time. We introduce a simple convergence criterion that defines a new class of algorithms which perform gathering in O(nd) time, where d is the diameter of the initial robot configuration. We show that some gathering algorithms in the literature belong to this class and propose two new algorithms that belong to this class and have quadratic running time, namely, Go-To-The-Relative-Center algorithm (GTRC) and Safe-Go-To-The-Relative-Center algorithm (S-GTRC). We prove that the latter can perform gathering without collision by using a slightly more complex robot model: non oblivious, chiral, and luminous (i.e. robots have observable external memory, as in [8]). We also consider a variant of the Gathering problem, the Near-Gathering problem, in which robots must get close to each other without colliding. We show that S-GTRC solves the Near-Gathering problem in quadratic time and assumes a weaker robot model than the one assumed in the current state-of-the-art.}},
  author       = {{Li, Shouwei and Markarian, Christine and Meyer auf der Heide, Friedhelm and Podlipyan, Pavel}},
  issn         = {{0304-3975}},
  journal      = {{Theoretical Computer Science}},
  keywords     = {{Local algorithms, Distributed algorithms, Collisionless gathering, Mobile robots, Multiagent system}},
  pages        = {{41--60}},
  title        = {{{A continuous strategy for collisionless gathering}}},
  doi          = {{10.1016/j.tcs.2020.10.037}},
  volume       = {{852}},
  year         = {{2021}},
}

@article{22511,
  abstract     = {{In this paper, we reconsider the well-known discrete, round-based Go-To-The-Center algorithm due to Ando, Suzuki, and Yamashita [2] for gathering n autonomous mobile robots with limited viewing range in the plane. Remarquably, this algorithm exploits the fact that during its execution, many collisions of robots occur. Such collisions are interpreted as a success because it is assumed that such collided robots behave the same from now on. This is acceptable under the assumption that each robot is represented by a single point. Otherwise, collisions should be avoided. In this paper, we consider a continuous Go-To-The-Center algorithm in which the robots continuously observe the positions of their neighbors and adapt their speed (assuming a speed limit) and direction. Our first results are time bounds of O(n2) for gathering in two dimensions Euclidean space, and Θ(n) for the one dimension. Our main contribution is the introduction and evaluation of a continuous algorithm which performs Go-To-The-Center considering only the neighbors of a robot with respect to the Gabriel subgraph of the visibility graph, i.e. Go-To-The-Gabriel-Center algorithm. We show that this modification still correctly executes gathering in one and two dimensions, with the same time bounds as above. Simulations exhibit a severe difference of the behavior of the Go-To-The-Center and the Go-To-The-Gabriel-Center algorithms: Whereas lots of collisions occur during a run of the Go-To-The-Center algorithm, typically only one, namely the final collision occurs during a run of the Go-To-The-Gabriel-Center algorithm. We can prove this “collisionless property” of the Go-To-The-Gabriel-Center algorithm for one dimension. In two-dimensional Euclidean space, we conjecture that the “collisionless property” holds for almost every initial configuration. We support our conjecture with measurements obtained from the simulation where robots execute both continuous Go-To-The-Center and Go-To-The-Gabriel-Center algorithms.
}},
  author       = {{Li, Shouwei and Meyer auf der Heide, Friedhelm and Podlipyan, Pavel}},
  issn         = {{0304-3975}},
  journal      = {{Theoretical Computer Science}},
  keywords     = {{Local algorithms, Distributed algorithms, Collisionless gathering, Mobile robots, Multiagent system}},
  pages        = {{29--40}},
  title        = {{{The impact of the Gabriel subgraph of the visibility graph on the gathering of mobile autonomous robots}}},
  doi          = {{10.1016/j.tcs.2020.11.009}},
  volume       = {{852}},
  year         = {{2021}},
}

@inproceedings{29938,
  abstract     = {{Modular solid-state transformers (SSTs) are a promising technology in converting power from a 10kV three-phase medium voltage to a lower DC-voltage in the range of 100…400V to provide pure DC power to applications such as electrolyzers for hydrogen generation, data centers with a DC power distribution and DC micro grids. Modular SSTs which can be interpreted as modular multilevel converters with an isolated DC-DC output stage per module, are designed with redundant modules to increase reliability. Usually, each of the three arms operates independently, and therefore, only a fixed number of faulty modules can be compensated in each arm, even if all modules are operational in the remaining two arms. With the proposed zero-sequence voltage injection, up to 100% more faulty modules can be compensated in an arm by employing the same hardware. In addition, module power imbalances are nearly eliminated by utilizing a fundamental frequency zero-sequence voltage. A dominant 3rd harmonic zero-sequence voltage injection in combination with the 5th, 7th and several higher order harmonics with adaptive (small) amplitudes minimize the required arm voltages at steady-state. For nominal operation or symmetrical faults, the proposed technique is equivalent to the well known Min-Max voltage injection, which already reduces the peak arm voltage by 13.4% compared to a constant star point potential. A statistical analysis proves, that the expected number of tolerable faulty modules of the 1MW SST increases by 12% without the need for additional hardware.}},
  author       = {{Unruh, Roland and Lange, Jarren and Schafmeister, Frank and Böcker, Joachim}},
  booktitle    = {{23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe)}},
  isbn         = {{978-9-0758-1537-5}},
  keywords     = {{Solid-State Transformer, Zero sequence voltage, Fault handling strategy, Power balance control technique, Three-phase system}},
  location     = {{Ghent, Belgium}},
  publisher    = {{IEEE}},
  title        = {{{Adaptive Zero-Sequence Voltage Injection for Modular Solid-State Transformer to Compensate for Asymmetrical Fault Conditions}}},
  doi          = {{https://doi.org/10.23919/EPE21ECCEEurope50061.2021.9570542}},
  year         = {{2021}},
}

@inproceedings{24080,
  abstract     = {{Challenges of the development of mechatronic systems and corresponding production systems have increased steadily. Changes are primarily due to increased product complexity and the connection to the internet of things and services, enabling Cyber-Physical Systems (CPS) and Cyber-Physical Production Systems (CPPS). Major innovations of the revised VDI guideline 2206 for developing mechatronic systems are systems thinking as a core element and six checkpoints for structuring deliverables along the V-Model. These checkpoints serve for orientation in result progress and thus enable a structured and complete development process. However, tasks and checkpoints of the new guideline focus on the product development itself without integrating the development of related CPPS, enabling optimization simultaneously to system development. Implications are derived by a three-step analysis. The paper at hand contributes fundamental extensions of the checkpoint questions regarding integrated CPPS development. These questions provide methodical support for system developers of CPPS for CPS by enabling the project manager to check the status, schedule further development steps and evaluate the maturity of the whole, integrated development.}},
  author       = {{Gräßler, Iris and Wiechel, Dominik and Roesmann, Daniel and Thiele, Henrik}},
  booktitle    = {{Procedia CIRP}},
  issn         = {{2212-8271}},
  keywords     = {{Cyber-Physical Production System (CPPS), V-Model, Product System Development, Integrated Development, VDI 2206}},
  pages        = {{253--258}},
  title        = {{{V-model based development of cyber-physical systems and cyber-physical production systems}}},
  doi          = {{10.1016/j.procir.2021.05.119}},
  year         = {{2021}},
}

@inbook{21542,
  abstract     = {{Using near-field (NF) scan data to predict the far-field (FF) behaviour of radiating electronic systems represents a novel method to accompany the whole RF design process. This approach involves so-called Huygens' box as an efficient radiation model inside an electromagnetic (EM) simulation tool and then transforms the scanned NF measured data into the FF. For this, the basic idea of the Huygens'box principle and the NF-to-FF transformation are briefly presented. The NF is measured on the Huygens' box around a device under test using anNF scanner, recording the magnitude and phase of the site-related magnetic and electric components. A comparison between a fullwave simulation and the measurement results shows a good similarity in both the NF and the simulated and transformed FF.Thus, this method is applicable to predict the FF behaviour of any electronic system by measuring the NF. With this knowledge, the RF design can be improved due to allowing a significant reduction of EM compatibility failure at the end of the development flow. In addition, the very efficient FF radiation model can be used for detailed investigations in various environments and the impact of such an equivalent radiation source on other electronic systems can be assessed.}},
  author       = {{Schröder, Dominik and Lange, Sven and Hangmann, Christian and Hedayat, Christian}},
  booktitle    = {{Tensorial Analysis of Networks (TAN) Modelling for PCB Signal Integrity and EMC Analysis}},
  isbn         = {{9781839530494}},
  keywords     = {{Huygens' box, NF-to-FF transformation, efficient FF radiation model, FF behaviour, EMI assessment, PCB, near-field measurements, efficient radiation model, far-field behaviour, RF design process, far-field prediction, Huygens'box principle, fullwave simulation, electronic system radiation, equivalent radiation source, electromagnetic simulation tool, near-field scan data, EM compatibility failure reduction}},
  pages        = {{315--346 (32)}},
  publisher    = {{ The Institution of Engineering and Technology (IET)}},
  title        = {{{Far-field prediction combining simulations with near-field measurements for EMI assessment of PCBs}}},
  doi          = {{10.1049/pbcs072e_ch14}},
  year         = {{2020}},
}

@inproceedings{19390,
  abstract     = {{Due to the strong reduction of PV prices, storage plays a dominating role in overall system costs. A 
steeper elevation angle would result in a more balanced seasonal PV yield, at the cost of PV yield reductions during 
summer, but allowing reduced storage capacities. Additionally, the effect of a single-axis tracking system has been 
investigated, generating more electricity during the morning and evening hours, thus reducing daily storage 
requirements. The necessary PV size and storage capacities required for the German energy supply (1,500 TWh after 
electrification of all sectors) via 100% renewable energies and a 50% solar share have been calculated via the 
HOMER Pro software, considering the bridging of periods of "dark lulls“ in winter, using costs of 2030 (Table 1). 
Results: The increase of module elevation angles above the typical 30° leads to a reduction of investment and supply 
costs. The optimum is reached at a cost reduction of -1.5% for an elevation angle at the latitude of the installation 
site. An explanation is that high elevation angles are favorable for clear winter days, but not at all for the critical days 
with diffuse irradiance only, so the battery capacity must be increased. For the same reason, tracking systems do not 
offer any cost advantage (at least for the ones without an option for horizontal positioning during diffuse days).}},
  author       = {{Krauter, Stefan and Rustemovic, D. and Khatibi, Arash}},
  booktitle    = {{Proceedings of the 37th European Photovoltaic Solar Energy Conference, 07 - 11 September 2020}},
  isbn         = {{3-936338-73-6}},
  keywords     = {{Energy Storage, PV system integration, Large Grid-connected PV systems, Simulation, Energy Supply Options}},
  location     = {{online}},
  pages        = {{1818 -- 1819}},
  title        = {{{Reduction of required storage capacities for a 100% renewable energy supply in Germany, if new PV systems are installed with east-west tracking systems at increased elevation angles}}},
  doi          = {{10.4229/EUPVSEC20202020-6BV.5.10}},
  year         = {{2020}},
}

@article{21948,
  abstract     = {{<jats:p>Since suspensions (e.g., in food, cement, or cosmetics industries) tend to show wall slip, the application of structured measuring surfaces in rheometers is widespread. Usually, for parallel-plate geometries, the tip-to-tip distance is used for calculation of absolute rheological values, which implies that there is no flow behind this distance. However, several studies show that this is not true. Therefore, the measuring gap needs to be corrected by adding the effective gap extension    δ    to the prescribed gap height    H    in order to obtain absolute rheological properties. In this paper, we determine the effective gap extension    δ    for different structures and fluids (Newtonian, shear thinning, and model suspensions that can be adjusted to the behavior of real fluids) and compare the corrected values to reference data. We observe that for Newtonian fluids a gap- and material-independent correction function can be derived for every measuring system, which is also applicable to suspensions, but not to shear thinning fluids. Since this relation appears to be mainly dependent on the characteristics of flow behaviour, we show that the calibration of structured measuring systems is possible with Newtonian fluids and then can be transferred to suspensions up to a certain particle content.</jats:p>}},
  author       = {{Pawelczyk, Sebastian and Kniepkamp, Marieluise and Jesinghausen, Steffen and Schmid, Hans-Joachim}},
  issn         = {{1996-1944}},
  journal      = {{Materials}},
  keywords     = {{wall slip prevention, effective gap height, parallel-plate system, structured surfaces, model suspensions, cement paste, fresh concrete}},
  title        = {{{Absolute Rheological Measurements of Model Suspensions: Influence and Correction of Wall Slip Prevention Measures}}},
  doi          = {{10.3390/ma13020467}},
  year         = {{2020}},
}

@article{45785,
  abstract     = {{In this paper, we implement the multidomain compact finite difference method to numerically study high dimensional chaos by considering the nine-dimensional Lorenz system. Most of the existing numerical methods converge slowly for this kind of problems and this results in inaccurate approximations. Though highly accurate, the compact finite difference method becomes less accurate for problems characterized by chaotic solutions, even with an increase in the number of grid points. As a result, in this work, we adopt the multidomain approach. This approach remarkably improves the results as well as the efficiency of the method.}},
  author       = {{Kouagou, N.J. and Dlamini, P.G. and Simelane, S.M.}},
  issn         = {{1110-0168}},
  journal      = {{Alexandria Engineering Journal}},
  keywords     = {{Multidomain, Compact finite difference, 9D Lorenz system}},
  number       = {{4}},
  pages        = {{2617--2625}},
  title        = {{{On the multi-domain compact finite difference relaxation method for high dimensional chaos: The nine-dimensional Lorenz system}}},
  doi          = {{https://doi.org/10.1016/j.aej.2020.04.025}},
  volume       = {{59}},
  year         = {{2020}},
}

@inproceedings{9850,
  abstract     = {{A business model describes the mechanisms whereby a firm creates, delivers, and captures value. Following the steadily growing interest in business model innovation, software tools have shown great potential in supporting business model development and innovation. Yet, understanding the cognitive processes involved in the generation of business model ideas is an aspect of software design-knowledge that has so far been neglected. To investigate whether providing stimuli – in this case, brainstorming questions – can enhance individual creativity in this context, we conduct an exploratory experiment with over 100 participants. Our study is the first to systematically investigate the process of idea generation using a software-based business model development tool with stimuli. Our preliminary findings have the potential to support the future development of business model development tools and to refine the research design used to evaluate such tools.}},
  author       = {{Szopinski, Daniel}},
  booktitle    = {{Proceedings of the ACM Creativity & Cognition}},
  keywords     = {{Business model innovation, idea generation, cognitive stimuli, business model development tools, experiment, creativity support system}},
  location     = {{San Diego, USA}},
  title        = {{{Can stimuli improve business model idea generation? Developing software-based tools for business model innovation}}},
  year         = {{2019}},
}

@inproceedings{1163,
  abstract     = {{In this paper we present two major results:
First, we introduce the first self-stabilizing version of a supervised overlay network (as introduced in~\cite{DBLP:conf/ispan/KothapalliS05}) by presenting a self-stabilizing supervised skip ring.
Secondly, we show how to use the self-stabilizing supervised skip ring to construct an efficient self-stabilizing publish-subscribe system.
That is, in addition to stabilizing the overlay network, every subscriber of a topic will eventually know all of the publications that have been issued so far for that topic. The communication work needed to processes a subscribe or unsubscribe operation is just a constant in a legitimate state, and the communication work of checking whether the system is still in a legitimate state is just a constant on expectation for the supervisor as well as any process in the system.
}},
  author       = {{Feldmann, Michael and Kolb, Christina and Scheideler, Christian and Strothmann, Thim Frederik}},
  booktitle    = {{Proceedings of the 32nd IEEE International Parallel & Distributed Processing Symposium (IPDPS)}},
  keywords     = {{Topological Self-stabilization, Supervised Overlay, Publish-Subscribe System}},
  location     = {{Vancouver}},
  publisher    = {{IEEE}},
  title        = {{{Self-Stabilizing Supervised Publish-Subscribe Systems}}},
  doi          = {{10.1109/IPDPS.2018.00114}},
  year         = {{2018}},
}

@inproceedings{5675,
  abstract     = {{When responding to natural disasters, professional relief units are often supported by many volunteers which are not affiliated to humanitarian organizations. The effective coordination of these volunteers is crucial to leverage their capabilities and to avoid conflicts with professional relief units. In this paper, we empirically identify key requirements that professional relief units pose on this coordination. Based on these requirements, we suggest a decision model. We computationally solve a real-world instance of the model and empirically validate the computed solution in interviews with practitioners. Our results show that the suggested model allows for solving volunteer coordination tasks of realistic size near-optimally within short time, with the determined solution being well accepted by practitioners. We also describe in this article how the suggested decision support model is integrated in the volunteer coordination system which we develop in joint cooperation with a disaster management authority and a software development company.}},
  author       = {{Rauchecker, Gerhard and Schryen, Guido}},
  booktitle    = {{Proceedings of the 15th International Conference on Information Systems for Crisis Response and Management}},
  keywords     = {{Coordination of spontaneous volunteers, volunteer coordination system, decision support, scheduling optimization model, linear programming}},
  location     = {{Rochester, NY, USA}},
  title        = {{{Decision Support for the Optimal Coordination of Spontaneous Volunteers in Disaster Relief}}},
  year         = {{2018}},
}

@article{4516,
  abstract     = {{Although many methods have been proposed for engineering service systems and customer solutions, most of these approaches give little consideration to recombinant service innovation. Recombinant innovation refers to reusing and integrating resources that were previously unconnected. In an age of networked products and data, we can expect that many service innovations will be based on adding, dissociating, and associating existing value propositions by accessing internal and external resources instead of designing them from scratch. The purpose of this paper is to identify if current service engineering approaches account for the mechanisms of recombinant innovation and to design a method for recombinant service systems engineering. In a conceptual analysis of 24 service engineering methods, the study identified that most methods (1) focus on designing value propositions instead of service systems, (2) view service independent of physical goods, (3) are either linear or iterative instead of agile, and (4) do not sufficiently address the mechanisms of recombinant innovation. The paper discusses how these deficiencies can be remedied and designs a revised service systems engineering approach that reorganizes service engineering processes according to four design principles. The method is demonstrated with the recombinant design of a service system for predictive maintenance of agricultural machines.}},
  author       = {{Beverungen, Daniel and Lüttenberg, Hedda and Wolf, Verena}},
  issn         = {{2363-7005}},
  journal      = {{Business & Information Systems Engineering}},
  keywords     = {{Service engineering, Recombinant innovation, (Product-)service system, Design science research, New service development}},
  number       = {{5}},
  pages        = {{377--391}},
  publisher    = {{SpringerNature}},
  title        = {{{Recombinant Service Systems Engineering}}},
  doi          = {{10.1007/s12599-018-0526-4}},
  volume       = {{60}},
  year         = {{2018}},
}

@phdthesis{9994,
  abstract     = {{Reliability-adaptive systems allow an adaptation of system behavior based on current system reliability. They can extend their lifetime at the cost of lowered performance or vice versa. This can be used to adapt failure behavior according to a maintenance plan, thus increasing availability while using up system capability fully. To facilitate setup, a control algorithm independent of a degradation model is desired. A closed loop control technique for reliability based on a health index, a measure for system degradation, is introduced. It uses self-optimization as means to implement behavior adaptation. This is based on selecting the priorities of objectives that the system pursues. Possible working points are computed beforehand using model-based multiobjective optimization techniques. The controller selects the priorities of objectives and this way balances reliability and performance. As exemplary application, an automatically actuated single plate dry clutch is introduced. The entire reliability control is setup and lifetime experiments are conducted. Results show that the variance of time to failure is reduced greatly, making the failure behavior more predictable. At the same time, the desired usable lifetime can be extended at the cost of system performance to allow for changed maintenance intervals. Together, these possibilities allow for greater system usage and better planning of maintenance.}},
  author       = {{Meyer, Tobias}},
  keywords     = {{dependability, reliability, behavior adaptation, self-optimization, multiobjective optimization, optimal control, automotive drivetrain, clutch system, reliability-adaptive system}},
  publisher    = {{Shaker}},
  title        = {{{Optimization-based reliability control of mechatronic systems}}},
  year         = {{2018}},
}

@inproceedings{2860,
  abstract     = {{Although many methods have been proposed for engineering services and  customer  solutions,  most  of  these  approaches  give  little  consideration  to recombinant service innovation. In an age of smart products and 
smart data, we can, however, expect that many of future service innovations need to be based on adding,  transferring,  dissociating,  and  associating  existing  value  propositions. The  purpose  of  this  paper  is  to  outline  what  properties  constitute  recombinant service innovation and to identify if current service engineering approaches fulfill 
these   properties.   Based   on   a   conceptual   in-depth   analysis   of   24   service engineering  methods,  we  identify  that  most  methods  focus  on  designing  value propositions  instead  of service  systems,  view  service  independent  of  physical goods,  are  linear  or  iterative,  and  incompletely  address  the  mechanisms  of  recombinant innovation. We discuss how these deficiencies can be remedied and propose  a  first  conceptual  model  of  a  revised  se
rvice  system  engineering approach.}},
  author       = {{Beverungen, Daniel and Lüttenberg, Hedda and Wolf, Verena}},
  booktitle    = {{Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017)}},
  editor       = {{Leimeister, Jan Marco and Brenner, Walter}},
  keywords     = {{Service engineering, recombinant innovation, (product - )service  system, literature analysis, new service development}},
  location     = {{St. Gallen, Switzerland}},
  pages        = {{136--150}},
  title        = {{{Recombinant Service System Engineering}}},
  year         = {{2017}},
}

@article{3490,
  abstract     = {{Digital interactions among businesses and consumers through powerful information systems and omnipresent connected devices establish today’s networked society. In this light, Service Science continues to take root as a research discipline that focuses on the integration of (digital) resources by service providers and service customers for value co-creation in service systems. Rapid advances in information technology allow for designing novel information systems that enable entirely new configurations of service systems. In turn, Service Science also leaves its mark on the design, adoption, and use of information systems and technology. With this special issue, we compile a set of timely papers that investigate selected facets of the complex interplay between information technology, information systems, and Service Science to design innovative IT artifacts for smart service. This editorial opens this special issue by elaborating on our understanding of smart service.<br}},
  author       = {{Beverungen, Daniel and Matzner, Martin and Janiesch, Christian}},
  journal      = {{Information Systems and E-Business Management}},
  keywords     = {{Information system, Smart service, Service system}},
  pages        = {{781–787}},
  title        = {{{Information systems for smart services}}},
  doi          = {{10.1007/s10257-017-0365-8}},
  year         = {{2017}},
}

@article{9976,
  abstract     = {{State-of-the-art mechatronic systems offer inherent intelligence that enables them to autonomously adapt their behavior to current environmental conditions and to their own system state. This autonomous behavior adaptation is made possible by software in combination with complex sensor and actuator systems and by sophisticated information processing, all of which make these systems increasingly complex. This increasing complexity makes the design process a challenging task and brings new complex possibilities for operation and maintenance. However, with the risk of increased system complexity also comes the chance to adapt system behavior based on current reliability, which in turn increases reliability. The development of such an adaption strategy requires appropriate methods to evaluate reliability based on currently selected system behavior. A common approach to implement such adaptivity is to base system behavior on different working points that are obtained using multiobjective optimization. During operation, selection among these allows a changed operating strategy. To allow for multiobjective optimization, an accurate system model including system reliability is required. This model is repeatedly evaluated by the optimization algorithm. At present, modeling of system reliability and synchronization of the models of behavior and reliability is a laborious manual task and thus very error-prone. Since system behavior is crucial for system reliability, an integrated model is introduced that integrates system behavior and system reliability. The proposed approach is used to formulate reliability-related objective functions for a clutch test rig that are used to compute feasible working points using multiobjective optimization.}},
  author       = {{Kaul, Thorben and Meyer, Tobias and Sextro, Walter}},
  journal      = {{SAGE Journals}},
  keywords     = {{Integrated model, reliability, system behavior, Bayesian network, multiobjective optimization}},
  pages        = {{390 -- 399}},
  title        = {{{Formulation of reliability-related objective functions for design of intelligent mechatronic systems}}},
  doi          = {{10.1177/1748006X17709376}},
  volume       = {{Vol. 231(4)}},
  year         = {{2017}},
}

