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Fachgebiet Wirtschaftsinformatik für Industriebetriebe



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Prof. Dr. Steffen Straßburger

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Publikationen - Gesamtliste ab 2007 (ohne Abschlussarbeiten)

Anzahl der Treffer: 74
Erstellt: Sun, 22 Jul 2018 06:45:02 +0200 in 0.0260 sec


Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen; Schulze, Thomas; Akondi, Praneeth; Lemessi, Marco
Knowledge discovery in simulation data - a case study for a backhoe assembly line. - In: WSC'17 : 2017 Winter Simulation Conference : WSC turns 50: simulation everywhere! : December 3-6, 2017, Red Rock Casino Resort & Spa, Las Vegas, NV. - [Piscataway, NJ] : IEEE / Winter Simulation Conference (Las Vegas, Nev.) : 2017.12.03-06., ISBN 978-1-5386-3428-8, (2018), S. 4456-4458

Konferenz: 2017 Winter Simulation Conference, WSC'17, Las Vegas, NV, December 3-6, 2017

Discrete event simulation is an established and popular technology for investigating the dynamic behavior of complex manufacturing and logistics systems. Besides conventional simulation studies that focus on single model aspects answering project specific analysis questions, new methods of broad scale experiment design and system analysis emerge alongside new developments of computational power and data processing. This enables to investigate the bandwidth of possible system behavior in a more in-depth way. In this work we applied our previously developed methodology of knowledge discovery in simulation data onto an industrial case study for a backhoe loader manufacturing facility.


https://doi.org/10.1109/WSC.2017.8248162
Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen; Schulze, Thomas
Knowledge discovery and robustness analysis in manufacturing simulations. - In: WSC'17 : 2017 Winter Simulation Conference : WSC turns 50: simulation everywhere! : December 3-6, 2017, Red Rock Casino Resort & Spa, Las Vegas, NV. - [Piscataway, NJ] : IEEE / Winter Simulation Conference (Las Vegas, Nev.) : 2017.12.03-06., ISBN 978-1-5386-3428-8, (2018), S. 3952-3963

Konferenz: 2017 Winter Simulation Conference, WSC'17, Las Vegas, NV, December 3-6, 2017

Discrete event simulation is an established methodology for investigating the dynamic behavior of complex manufacturing and logistics systems. Traditionally, simulation experts conduct experiments for predetermined system specifications focusing on single model aspects and specific analysis questions. In addition to that, the concept of data farming and knowledge discovery is an ongoing research issue that consists of broad scale experimentation and data mining assisted analysis of massive simulation output data. As an extension to this approach, we propose a concept for investigating the robustness of complex manufacturing and logistic systems which are often very sensitive to variation and noise. Based on Taguchis loss function, we developed a concept including data farming and visual analytics methodologies to investigate sources of variation in a model and the factor values that make a configuration robust. The concept is demonstrated on an exemplary case study model.


https://doi.org/10.1109/WSC.2017.8248105
Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen; Schulze, Thomas
Data Farming im Kontext von Produktion und Logistik. - In: Simulation in Produktion und Logistik 2017 / Fachtagung Simulation in Produktion und Logistik ; 17 (Kassel) : 2017.09.20-22. : Kassel, 20.-22. September 2017. - Kassel : Kassel University Press, ISBN 978-3-7376-0192-4, (2017), S. 169-178

Simulation is an established methodology for planning and evaluating manufacturing and logistics systems. Usually simulations experts conduct experiments for a prior defined goal and by minimizing the number of simulation runs. In contrast to that, data farming describes an approach for using the simulation model as a data generator for broad scale experimentation with a broader coverage of system behaviour. This paper demonstrates how to apply data farming methodologies on simulation models in the context of production and logistics and how to analyse massive amounts of simulation data using data mining and visual analytics.


Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen
Online analysis of simulation data with stream-based data mining. - In: SIGSIM-PADS'17 / ACM SIGSIM Conference on Principles of Advanced and Distributed Simulation ; 5 (Singapore) : 2017.05.24-26. - New York : Association for Computing Machinery, ISBN 978-1-4503-4489-0, (2017), S. 241-248

Bergmann, Sören ; Feldkamp, Niclas; Straßburger, Steffen
Emulation of control strategies through machine learning in manufacturing simulations. - In: Journal of simulation : JOS. - Abington : Taylor & Francis Group, ISSN 17477786, Bd. 11 (2017), 1, S. 38-50

Discrete-event simulation is a well-accepted method for planning, evaluating, and monitoring processes in production and logistics. To reduce time and effort spent on creating simulation models, automatic simulation model generation is an important area in modeling methodology research. When automatically generating a simulation model from existing data sources, the correct reproduction of dynamic behavior of the modeled system is a common challenge. One example is the representation of dispatching and scheduling strategies of production jobs. When generating a model automatically, the underlying rules for these strategies are typically unknown but yet have to be adequately emulated. In this paper, we summarize our work investigating the suitability of various data mining and supervised machine learning methods for emulating job scheduling decisions based on data obtained from production data acquisition. We report on the performance of the algorithms and give recommendations for their application, including suggestions for their integration in simulation systems.


http://dx.doi.org/10.1057/s41273-016-0006-0
Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen; Schulze, Thomas
Knowledge discovery in simulation data: a case study of a gold mining facility. - In: Simulating complex service systems : WSC'16 - Winter Simulation Conference : Crystal Gateway Marriott, Arlington, VA, December 11-14, 2016. - [Piscataway, NJ] : IEEE / Winter Simulation ConferencecArlington, Va. (Arlington, Va.) : 2016.12.11-14., ISBN 978-1-5090-4486-3, (2016), S. 1607-1618

Discrete event simulation is an established methodology for investigating the dynamic behavior of complex systems. Apart from conventional simulation studies, which focus on single model aspects and answering specific analysis questions, new methods of broad scale experiment design and analysis emerge in alignment with new possibilities of computation and data processing. This paper outlines a visually aided process for knowledge discovery in simulation data which is applied onto a real world case study of a mining facility in Western Australia.


https://doi.org/10.1109/WSC.2016.7822210
Roemer, Anna Carina ; Straßburger, Steffen
A review of literature on simulation-based optimization of the energy efficiency in production. - In: Simulating complex service systems : WSC'16 - Winter Simulation Conference : Crystal Gateway Marriott, Arlington, VA, December 11-14, 2016. - [Piscataway, NJ] : IEEE / Winter Simulation ConferencecArlington, Va. (Arlington, Va.) : 2016.12.11-14., ISBN 978-1-5090-4486-3, (2016), S. 1416-1427

Due to rising resource prices, the sustained use of energy has become a basic requirement for manufacturing companies to competitively perform on the market. Designing production processes therefore not only requires the consideration of logistical and technical production conditions but also the consistent optimization of resource consumption. As simulation technology has become a common tool for assessing dynamic production processes, the consideration of energy-related issues in this context is becoming a more frequent subject. The aim of this literature research is to summarize the current state-of-the-art in the field of energy management in production and its adjacent disciplines as well as to identify future research priorities for the simulation-based optimization of energy aspects. The accomplishment of this objective requires a methodological review focusing on the multidisciplinary combination of simulation technologies, including hybrid simulation, the integration of mathematical optimization approaches, and the domain-specific knowledge of energy-related subjects in production systems.


https://doi.org/10.1109/WSC.2016.7822194
Feldkamp, Niclas ; Bergmann, Sören; Straßburger, Steffen
Innovative Analyse- und Visualisierungsmethoden für Simulationsdaten. - In: Multikonferenz Wirtschaftsinformatik (MKWI) 2016 ; Band 3. - Ilmenau : Universitätsverlag Ilmenau / Multikonferenz Wirtschaftsinformatik (Ilmenau) : 2016.03.09-11., (2016), S. 1737-1748
http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:gbv:ilm1-2016100035
Bergmann, Sören ; Feldkamp, Niclas; Straßburger, Steffen
Gestaltungsmöglichkeiten selbst-adaptierender Simulationsmodelle. - In: Multikonferenz Wirtschaftsinformatik (MKWI) 2016 ; Band 3. - Ilmenau : Universitätsverlag Ilmenau / Multikonferenz Wirtschaftsinformatik (Ilmenau) : 2016.03.09-11., (2016), S. 1713-1724
http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:gbv:ilm1-2016100035
Nissen, Volker; Stelzer, Dirk; Straßburger, Steffen; Fischer, Daniel
Multikonferenz Wirtschaftsinformatik (MKWI) 2016 : Technische Universität Ilmenau, 09. - 11. März 2016. - Ilmenau : Universitätsverlag Ilmenauhttp://www.db-thueringen.de/servlets/DocumentServlet?id=27211