@inproceedings{13331,
  abstract     = {{Communication in online social networks has been analyzed for some time regarding the expression of sentiments. So far, very little is known about the relationship between sentiments and network emergence, dissemination patternsand possible differences between positive and negative sentiments. The dissemination patterns analyzed in this study consist of network motifs based on triples of actors and the ties among them. These motifs are associated with common social network effects to derive meaningful insights about dissemination activities. The data basis includes several thousand social networks with textual messages classified according to embedded positive and negative sentiments. Based on this data, sub-networks are extracted and analyzed with a dynamic network motif analysis to determine dissemination patterns and associated network effects. Results indicate that the emergence of digital social networks exhibits a strong tendency towards reciprocity, followed by the dominance ofhierarchy as an intermediate step leading to social clustering with hubs and transitivity effects for both positive and negative sentiments to the same extend. Sentiments embedded in exchanged textual messages do only play a secondary role in network emergence and do not express differences regarding the emergence of network patterns.}},
  author       = {{Hillmann, Robert and Trier, Matthias}},
  booktitle    = {{Proceedings of the 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining}},
  isbn         = {{9780769547992}},
  keywords     = {{Social Network Analysis, Dynamic Network Motif Analysis, Sentiment Dissemination, Networking Effects, Triads}},
  pages        = {{510--515}},
  publisher    = {{IEEE}},
  title        = {{{Dissemination Patterns and Associated Network Effects of Sentiments in Social Networks}}},
  year         = {{2012}},
}

@article{3075,
  author       = {{Schmitz, Hendrik}},
  journal      = {{Applied Economics}},
  number       = {{34}},
  pages        = {{4455--4468}},
  title        = {{{More health care utilization with more insurance coverage? Evidence from a latent class model with German data}}},
  doi          = {{10.1080/00036846.2011.591733}},
  volume       = {{44}},
  year         = {{2012}},
}

@article{31821,
  author       = {{Blum, Mareike and Kraft, Manfred and Lück, Sonja}},
  issn         = {{1860-3025}},
  journal      = {{Hochschulmanagement}},
  number       = {{2}},
  pages        = {{34--41}},
  title        = {{{Zufriedenheit der Studierenden mit den Serviceeinrichtungen einer Universität: Ergebnisse einer explorativen multivariaten Analyse}}},
  volume       = {{7}},
  year         = {{2012}},
}

@phdthesis{34169,
  author       = {{Brangewitz, Sonja}},
  title        = {{{Coalitional and Strategic Market Games}}},
  year         = {{2012}},
}

@inproceedings{25810,
  abstract     = {{The analysis of production systems by the use of discrete, event-based simulation is widely used and accepted as decision support method. It aims either at the comparison of competitive designs or the identification of a “best possible” configuration of the simulation model. Here, combinatorial techniques of simulation and optimization methods support the user in finding optimal solutions, which typically result in long computation times and though often prohibit a practical application in today’s industry. This paper presents a fast converging procedure as a combination of a swarm heuristic, namely the particle swarm optimization, and the material flow simulation to close this gap. Faster convergence is realized by a specific extension of classic PSO implementations. First results show the applicability with a simulation reference model.
}},
  author       = {{Laroque, Christoph  and Pater,  Jan-Patrick}},
  isbn         = {{978-1-61208-234-9}},
  pages        = {{50--57}},
  title        = {{{An Automatic Approach for Parameter Optimization of Material Flow Simulation Models based on Particle Swarm Optimization}}},
  year         = {{2012}},
}

@inproceedings{25811,
  author       = {{Lauck, Sebastian and Hartmann, Philip and Laroque, Christoph}},
  pages        = {{20--25}},
  publisher    = {{International Institute of Informatics and Systemics}},
  title        = {{{Multi-Layer Architecture for Transition of Business-Models to common Software-Tools and Optimization of the Model-Structure exemplified with Microsoft SharePoint 2010}}},
  year         = {{2012}},
}

@inproceedings{25809,
  author       = {{Laroque, Christoph and Klaas, Alexander and Fischer, Jan-Hendrik and Kuntze, Mathis}},
  booktitle    = {{Proceedings of the 2012 Winter Simulation Conference}},
  title        = {{{Fast Converging, Automated Experiment Runs for Material Flow Simulations Using Distributed Computing and Combined Metaheuristics}}},
  year         = {{2012}},
}

@misc{25812,
  author       = {{Dangelmaier,  Wilhelm}},
  title        = {{{Application relevance of dissertations}}},
  year         = {{2012}},
}

@article{25813,
  abstract     = {{The transportation sector accounts for a considerable portion of global CO2 emissions and the demand for transport, especially for international transport, is increasing. Current approaches to reduce CO2 emission on an operational level ignore time-related objectives and focus on simultaneous optimisation of economic and ecological objectives. In general, considering the minimisation of CO2 emissions in transportation scheduling introduces a trade-off between economic and ecological concerns. The concept of eco-efficiency is important in order to evaluate the economical value and ecological quality of business decisions. Nevertheless, this concept has primarily been applied to strategic decisions. In the present paper we demonstrate the applicability of this concept to operative decisions and introduce a bi-objective evolutionary optimisation approach for the approximation of CO2-efficient schedules in an international transportation problem.
}},
  author       = {{Kl{\, Benjamin and Pater, Jan-Patrick  and Irohara, Takashi and  Xue, Yudong}},
  journal      = {{International Journal of Engineering Management and Economic}},
  number       = {{3}},
  pages        = {{212--236}},
  title        = {{{Bi-objective-optimisation of an international transportation problem for CO2-efficient schedules}}},
  volume       = {{3}},
  year         = {{2012}},
}

@inproceedings{25815,
  author       = {{Renken,  Hendrik and  Eichert,  Felix Alexander  and Brandt, Sascha and Klaas, Alexander}},
  publisher    = {{ASME}},
  title        = {{{Visualization and Collaborative Editing of Simulation Models With Heterogeneous Clients - Implemented Into the Simulator d3fact}}},
  volume       = {{2}},
  year         = {{2012}},
}

@inproceedings{25817,
  author       = {{Dangelmaier, Wilhelm and  Laroque, Christoph and  Delius, Robin and Streichhan, Jenny}},
  title        = {{{Development of cost-effective spare parts logistics for a solar technology provider under monet {\ "a} rer Ber {\" u} consideration of resulting CO2 emissions}}},
  year         = {{2012}},
}

@inproceedings{25814,
  author       = {{Hartmann,  Philip and Laroque, Christoph}},
  pages        = {{13--30}},
  publisher    = {{EconPapers}},
  title        = {{{Kontinuierliche Adaption von Lieferketten durch Leistungsbewertung und -steuerung dynamischer Gesch{\"a}ftsprozesse}}},
  volume       = {{XII}},
  year         = {{2012}},
}

@inproceedings{25818,
  author       = {{Fischer, Jan-Hendrik and Delius,  Robin and Horstkemper, Dennis and Laroque,  Christoph}},
  title        = {{{Comparing a hybrid simulation & optimization approach with a purely stochastic optimization to increase the robustness of production plans}}},
  year         = {{2012}},
}

@article{25821,
  author       = {{Laroque,  Christoph  and Delius, Robin  and Fischer, Jan-Hendrik}},
  journal      = {{International Journal on Advances in Systems and measurements}},
  title        = {{{Increase of robustness in production plans using a hybrid optimization and simulation approach}}},
  year         = {{2012}},
}

@inproceedings{25816,
  author       = {{Kl{\"o}pper, Benjamin and  Pater,  Jan-Patrick and Dangelmaier, Wilhelm}},
  booktitle    = {{Proceedings of the 9th IEEE International Conference on Industrial Informatics}},
  pages        = {{1086--1091}},
  title        = {{{Parallel scheduling for evolving manufacturing systems}}},
  year         = {{2012}},
}

@book{25823,
  author       = {{Fischer, J and Dangelmaier,  Wilhelm  and Nastansky, Ludwig and Suhl,  L}},
  publisher    = {{Erich Schmidt}},
  title        = {{{Building blocks of business informatics - basics and applications}}},
  year         = {{2012}},
}

@article{25820,
  author       = {{Kaganova, Ekaterina}},
  journal      = {{Applied Mathematical Optimization and Modelling}},
  title        = {{{Robust solution approach to an uncertain CLSP problem}}},
  year         = {{2012}},
}

@article{25827,
  abstract     = {{Persistent trends like quickly changing production programs, increasing customer individual manufacturing and Sustainable Manufacturing create complex systems of objectives in manufacturing control. Service-oriented manufacturing systems and self-optimizing manufacturing resources offer the required flexibility to consider these objectives in accordance with the current organizational and economical situation. On the downside, this increase in flexibility make the control of manufacturing systems more difficult and presents new challenges regarding the scheduling. To meet these challenges, we developed scheduling framework that supports alternative process plans and considers the internal states trajectories of resources. In order to support the user in a complex decision-making environment, evolutionary multi-objective optimization is used to generate a set of relevant schedules and an interface to select the most appropriate schedule is provided.
}},
  author       = {{Kl{\, Benjamin and Pater, Jan-Patrick  and Honiden, Shinichi and Dangelmaier, Wilhelm}},
  journal      = {{Evolving Systems}},
  number       = {{1}},
  pages        = {{31--44}},
  title        = {{{A multi-objective evolutionary approach to scheduling for evolving manufacturing systems}}},
  volume       = {{3}},
  year         = {{2012}},
}

@inproceedings{25826,
  author       = {{Hassan,  Bassem  and  Wassmann, Helene  and Klaas, Alexander and  Kessler, Jan Henning}},
  booktitle    = {{Proceedings of the 2012 Emerging M&S Applications in Industry & Academia Symposium, Spring Simulation Multiconference,}},
  title        = {{{Cascaded Heterogeneous Simulations for Analysis of Mechatronic Systems in Large Scale Transportation Scenarios}}},
  year         = {{2012}},
}

@phdthesis{25825,
  author       = {{Delius, Robin}},
  publisher    = {{Publishing series of the Heinz Nixdorf Institute, Paderborn}}},
  title        = {{{Ensuring calls to automotive suppliers with minimal costs with special consideration of liquidity {\ "a} ts-, Besch {\ "a} qualification, know-how and IT restrictions}}},
  volume       = {{303}},
  year         = {{2012}},
}

