Faber, P. D.-I. T., Beye, T., & Rudolf, R. (2013). Konzeptstudie für Windenergieanlage mit Azimutlager am Turmfuß. Bauingenieur, (6), 6. (Original work published Juni 2013)
John, P., Brooks, B., Wand, C., & Schriewer, U. (2013). Information density in bridge team communication and miscommunication—a quantitative approach to evaluate maritime communication. WMU Journal of Maritime Affairs, 12, 16. http://doi.org/https://doi.org/10.1007/s13437-013-0043-8 (Original work published März 2013)
Abstract
The paper presents a method for measuring the information flow in bridge team communication based on an analysis of the voyage data recorder transcript of MV Cosco Busan alliding with a bridge pillar in San Francisco Bay in dense fog. The aim is to assess the efficiency of maritime communication by developing a specific index suitable for evaluating individual and team communication performance. The allision investigated in this paper leads to the conclusion that the information flow in bridge team communication can be measured quantitatively and that a correlation to external situational factors can be demonstrated.
Geisler, J., & Schrader, S. (2013). A Safe Control Algorithm for Emulating Grid Inertia in Commercial Wind Turbines. In European Wind Energy Association Annual Conference and Exhibition 2013 (EWEA 2013). Wien. (Original work published Februar 2013)
Labes, A. (2013). Early drug discovery: Models for Entering Pharmaceutical Pipelines. In 2. Deutsch-Russisches Forum Biotechnologie. Abgerufen von http://oceanrep.geomar.de/23001/
Kasoju, A., Petersen, K., & Mäntylä, M. , V. (2013). Analyzing an automotive testing process with evidence-based software engineering. Information and Software Technology, 55, 1237–1259.
Labes, A. (2013). Bio-mining the microbial treasures of the ocean: Early drug discovery and models for entering pharmaceutical pipelines. In SUBMARINER. Abgerufen von http://oceanrep.geomar.de/23002/
Paun, L., Kramer, A., Labes, A., Imhoff, J. F., & Kempken, F. (2013). Random mutagenesis in filamentous fungi for higher yields of secondary metabolites. In 44. Annual Conference of the German Genetics Society (GfG). Abgerufen von http://oceanrep.geomar.de/22018/
Petersen, K., & Gencel, C. (2013). Worldviews, Research Methods, and their Relationship to Validity in Empirical Software Engineering Research. In The Joint Conference of the 23nd International Workshop on Software Measurement (IWSM) and the 8th International Conference on Software Process and Product Measurement (Mensura).
Brandenburg, M. (2013). Quantitative Models for Value-Based Supply Chain Management. Lecture Notes in Economics and Mathematical Systems (S. 219). Berlin, Heidelberg: Springer. http://doi.org/10.1007/978-3-642-31304-2
Abstract
Supply chain management (SCM) strives for creating competitive advantage and value for customers by integrating business processes from end users through original suppliers. However, the question of how SCM influences the value of a firm is not fully answered. Various conceptual frameworks that explain the coherence of SCM and company value, comprehended as value-based SCM, are well accepted in scientific research, but quantitative approaches to value-based SCM are found rather seldom. The book contributes to this research gap by proposing quantitative models that allow for assessing influences of SCM on the value of a firm. Opposed to existing models that limit the observation to chosen facets of SCM or selected value drivers, this holistic approach is adequate to • reflect configurational and operational aspects of SCM, • cover all phases of the product life cycle, • financially compare value impacts of profitability-related and asset-related value drivers, and • assess influences of dynamics and uncertainties on company value.
Labes, A. (2013). Genome based methods for the exploration of natural products from marine fungi for the treatment of cancer. In Tagung der Vereinigung für allgemeine und angewandte Mikrobiologie. Abgerufen von http://oceanrep.geomar.de/23000/