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1. IPS
2. Research & Consult
3. Research Projects
4. bis 2023
Prädiktion dynamischer Engpässe

bottleneck identification. Based on this, they define data requirements at the tool level and gather production data. Represented by the analysis steps data preprocessing, modelling and evaluation of the CRISP-DM [...] which companies and data situations individual procedures are best suited. In addition, there is a lack of practicable and efficient software support in the implementation based on the data available in the [...] development of a data-driven methodology for the prediction of dynamic bottlenecks in directed material flow systems using machine learning methods. Therefore, existing obstacles regarding data generation and …
1. ITL
2. Research and Projects
Simulation and Logistics Engineering| ITL - TU Dortmund

facilities) Statistical analysis and evaluation of manual handling tasks to validate material flow planning of dynamic logistics systems Development and comparative analysis of methods for measuring [...] facilities and distribution centers) Statistical methodology for the generation of synthetic shipment data Statistical methodology for optimized selection of operational strategies using simulation Planning [...] greenhouse gas emissions of freight transport Analysis of measures to reduce CO2-emissions of stationary and mobile processes in logistics companies (ecological and economic review) Control strategies …
1. MSNat - Fakultät Statistik - TU Dortmund
2. Research
Dissertations

doi:10.17877/DE290R-20941 Jona Lilienthal (2019). Group-based regionalization in flood frequency analysis considering heterogeneity, , doi:10.17877/DE290R-20343 Sermad Abbas (2019): Robust and non-parametric [...] http://dx.doi.org/10.17877/DE290R-18088 Paul Kinsvater (2016): Semi- and non-parametric flood frequency analysis , http://dx.doi.org/10.17877/DE290R-17333 Claudia Köllmann (2016): Unimodal spline regression and [...] Linear Models , http://dx.doi.org/10.17877/DE290R-17191 Max Wornowizki (2015): Distribution-free Analysis of Homogeneity, http://dx.doi.org/10.17877/DE290R-16408 Tobias Voigt (2014): Threshold optimization …
1. IFS
2. Research
3. Team Becker
4. Researchers and Colleagues of Team Becker
Frauke Steinhäuser

Main research topics Empirical educational research Contextual effects Multi-level analysis Longitudinal data analysis Office hours by appointment Academic background 2018 bis 2020 M.A. Educational Science …
1. IFS
2. Center
3. Our team
4. Researchers
Frauke Steinhäuser

Main research topics Empirical educational research Contextual effects Multi-level analysis Longitudinal data analysis Office hours by appointment Academic background 2018 bis 2020 M.A. Educational Science …
1. Computer Science
2. Research
3. Research Profile
Artificial Intelligence and Intelligent Systems

of reality. Visualization and analysis of data and processes in engineering, bio- and natural sciences Support for knowledge discovery ("data mining") in extremely large data sets using machine learning …
1. CNI
2. Research
3. Projects
4. Completed Projects
5. National Projects
DELtA

the intelligent energy grid (smart grid) and the use of value added services, the topic of data security and data protection has to be integrated into the system approaches in the charging and billing process [...] Standardization Roadmap Electromobility Version 3.0) and serve as basis for a comprehensive IT security analysis. In this case, the requirements for information security for emobilty must be assessed with regard [...] longevity, and supplementary recommendations for action must be taken in order to ensure a complete data security during measurement and billing processes. For the safety and transparency of the measurement …
1. IFS
2. Research
3. Research Projects
4. Past Projects
FAIR

contexts (e.g., in schools and higher education). We will use data from large-scale assessments such as PIRLS/IGLU and NEPS, as well as new data (to be collected over the next three years) from intervention [...] profile area "FAIR", we are using and developing innovative analytical approaches from statistics and data science to optimize forecasting and intervention models in the fields of empirical educational research [...] and learning support systems in authentic educational contexts. An important goal is also the analysis of heterogeneous intervention effects. Our planned interventions will focus on such topics as learning …
1. IPS
2. Study & Doctorate
3. Courses
[M.Sc.] Industrial Data Science

Qualification Concept for Machine Learning in Industrial Production Industrial Data Science (InDaS) Industrial Data Science (InDaS) is a forward-looking qualification concept for the further education [...] Prerequisites for participation are a completed Bachelor's degree and a high interest in the field of data analysis. In addition, basic programming skills should be available. How many CPs do I get through InDaS [...] work on and solve real-life application cases. Contents of the InDaS course The course "Industrial Data Science" is the result of a research and development project funded by the Federal Ministry of Education …
1. APT
2. Professorship
3. Team
4. Alumni
Dr.-Ing. Christian Post

Studies, TU Dortmund University Master thesis: Cluster Analysis of Industrial Heat Exchanger Applications as an Approach for the Generation of a Module Data Base 2016-2018 PhD at the Laboratory of Plant and [...] However, neither detailed equipment data nor information of subsequent planning phases such as the characteristic curve for pump design is available. Hence, the input data for the evaluation of equipment types [...] Schembecker, C. Bramsiepe Generation of an equipment module database for heat exchangers by cluster analysis of industrial application Chemical Engineering Science 167 (2017) 278-287, doi.org/10.1016/j.ces …